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Journal articles on the topic 'Underwater image acquisition'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Gong, Benxing, and Guoyu Wang. "Underwater 2D Image Acquisition Using Sequential Striping Illumination." Applied Sciences 9, no. 11 (2019): 2179. http://dx.doi.org/10.3390/app9112179.

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Structured lighting techniques have increasingly been employed in underwater imaging, where scattering effects cannot be ignored. This paper presents an approach to underwater image recovery using structured light as a scanning mode. The method tackles both the forward scattering and back scattering problems. By integrating each of the sequentially striping illuminated frame images, we generate a synthesized image that can be modeled on the convolution of the surface albedo and the illumination function. Thus, image acquisition is issued as a problem of image recovery by deconvolution. The con

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Cheng, Peng, Jiang An Wang, Da Hui Qin, and Gui Yuan Mei. "The Underwater Bubbles Image’s Acquisition and Processing." Applied Mechanics and Materials 33 (October 2010): 152–56. http://dx.doi.org/10.4028/www.scientific.net/amm.33.152.

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Machine Vision was used to observer and measure the underwater bubbles. There are several ways been taken to solve many difficulties in the process of the acquisition to get the image. Such as the equipment selection, the light sources selection, the approach to images and the feature extraction of the image. The most important of them is the noise elimination and the extraction of the bubbles. The feature of the image can be very obviously after the Median filter and Sub-pixel edge detection. In this way, it provided an effective and feasible method to measure the underwater bubbles.

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Yang, Jiawei, Hongwu Huang, Fanchao Lin, Xiujing Gao, Junjie Jin, and Biwen Zhang. "Underwater Image Enhancement Fusion Method Guided by Salient Region Detection." Journal of Marine Science and Engineering 12, no. 8 (2024): 1383. http://dx.doi.org/10.3390/jmse12081383.

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Exploring and monitoring underwater environments pose unique challenges due to water’s complex optical properties, which significantly impact image quality. Challenges like light absorption and scattering result in color distortion and decreased visibility. Traditional underwater image acquisition methods face these obstacles, highlighting the need for advanced techniques to solve the image color shift and image detail loss caused by the underwater environment in the image enhancement process. This study proposes a salient region-guided underwater image enhancement fusion method to alleviate t

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Yasukawa, Shinsuke, Jonghyun Ahn, Yuya Nishida, Takashi Sonoda, Kazuo Ishii, and Tamaki Ura. "Vision System for an Autonomous Underwater Vehicle with a Benthos Sampling Function." Journal of Robotics and Mechatronics 30, no. 2 (2018): 248–56. http://dx.doi.org/10.20965/jrm.2018.p0248.

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We developed a vision system for an autonomous underwater robot with a benthos sampling function, specifically sampling-autonomous underwater vehicle (AUV). The sampling-AUV includes the following five modes: preparation mode (PM), observation mode (OM), return mode (RM), tracking mode (TM), and sampling mode (SM). To accomplish the mission objective, the proposed vision system comprises software modules for image acquisition, image enhancement, object detection, image selection, and object tracking. The camera in the proposed system acquires images in intervals of five seconds during OM and R

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Fu, Xianping, Xiaodi Shang, Xudong Sun, Haoyang Yu, Meiping Song, and Chein-I. Chang. "Underwater Hyperspectral Target Detection with Band Selection." Remote Sensing 12, no. 7 (2020): 1056. http://dx.doi.org/10.3390/rs12071056.

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Compared to multi-spectral imagery, hyperspectral imagery has very high spectral resolution with abundant spectral information. In underwater target detection, hyperspectral technology can be advantageous in the sense of a poor underwater imaging environment, complex background, or protective mechanism of aquatic organisms. Due to high data redundancy, slow imaging speed, and long processing of hyperspectral imagery, a direct use of hyperspectral images in detecting targets cannot meet the needs of rapid detection of underwater targets. To resolve this issue, a fast, hyperspectral underwater t

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Wang, Zhenfei, Meixin Hu, and Ketao Zhang. "Underwater Turbid Media Stokes-Based Polarimetric Recovery." Sensors 24, no. 5 (2024): 1367. http://dx.doi.org/10.3390/s24051367.

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Underwater optical imaging for information acquisition has always been an innovative and crucial research direction. Unlike imaging in the air medium, the underwater optical environment is more intricate. From an optical perspective, natural factors such as turbulence and suspended particles in the water cause issues like light scattering and attenuation, leading to color distortion, loss of details, decreased contrast, and overall blurriness. These challenges significantly impact the acquisition of underwater image information, rendering subsequent algorithms reliant on such data unable to fu

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Ji, Daxiong, Haichao Li, Chen-Wei Chen, Wei Song, and Shiqiang Zhu. "Visual detection and feature recognition of underwater target using a novel model-based method." International Journal of Advanced Robotic Systems 15, no. 6 (2018): 172988141880899. http://dx.doi.org/10.1177/1729881418808991.

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Imaging is an important means to explore the ocean for underwater robotics. The diffuse attenuation coefficient of light in water is one of the most important optical properties of seawater. This article presents a model-based method to analyze the causes of distortion of underwater images. We built a platform for underwater image acquisition and target recognition. The model coefficients were calibrated with images captured underwater and in air. Experiments were carried out to verify the designed algorithm and the transmission error model. The experiments show that the presented method works

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Monterroso Muñoz, Alberto, Maria-Jose Moron-Fernández, Daniel Cascado-Caballero, Fernando Diaz-del-Rio, and Pedro Real. "Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition." Sensors 23, no. 10 (2023): 4986. http://dx.doi.org/10.3390/s23104986.

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Underwater imaging has been present for many decades due to its relevance in vision and navigation systems. In recent years, advances in robotics have led to the availability of autonomous or unmanned underwater vehicles (AUVs, UUVs). Despite the rapid development of new studies and promising algorithms in this field, there is currently a lack of research toward standardized, general-approach proposals. This issue has been stated in the literature as a limiting factor to be addressed in the future. The key starting point of this work is to identify a synergistic effect between professional pho

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9

Yang, Dianyu, Jingfeng Yu, Can Wang, et al. "Side-Scan Sonar Image Matching Method Based on Topology Representation." Journal of Marine Science and Engineering 12, no. 5 (2024): 782. http://dx.doi.org/10.3390/jmse12050782.

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In the realm of underwater environment detection, achieving information matching stands as a pivotal step, forming an indispensable component for collaborative detection and research in areas such as distributed mapping. Nevertheless, the progress in studying the matching of underwater side-scan sonar images has been hindered by challenges including low image quality, intricate features, and susceptibility to distortion in commonly used side-scan sonar images. This article presents a comprehensive overview of the advancements in underwater sonar image processing. Building upon the novel Schema

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Zhao, Minghao, Chengquan Hu, Fenglin Wei, Kai Wang, Chong Wang, and Yu Jiang. "Real-Time Underwater Image Recognition with FPGA Embedded System for Convolutional Neural Network." Sensors 19, no. 2 (2019): 350. http://dx.doi.org/10.3390/s19020350.

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The underwater environment is still unknown for humans, so the high definition camera is an important tool for data acquisition at short distances underwater. Due to insufficient power, the image data collected by underwater submersible devices cannot be analyzed in real time. Based on the characteristics of Field-Programmable Gate Array (FPGA), low power consumption, strong computing capability, and high flexibility, we design an embedded FPGA image recognition system on Convolutional Neural Network (CNN). By using two technologies of FPGA, parallelism and pipeline, the parallelization of mul

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11

Wang, Rong, Yonghui Zhang, and Yulu Zhang. "Agent-Guided Non-Local Network for Underwater Image Enhancement and Super-Resolution Using Multi-Color Space." Journal of Marine Science and Engineering 12, no. 2 (2024): 358. http://dx.doi.org/10.3390/jmse12020358.

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The absorption and scattering of light in water usually result in the degradation of underwater image quality, such as color distortion and low contrast. Additionally, the performance of acquisition devices may limit the spatial resolution of underwater images, resulting in the loss of image details. Efficient modeling of long-range dependency is essential for understanding the global structure and local context of underwater images to enhance and restore details, which is a challenging task. In this paper, we propose an agent-guided non-local attention network using a multi-color space for un

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Saad, Nor Hidayah, Nor Ashidi Mat Isa, Hariyanti Mohd Saleh, Farah Hanim Mohd Fauzi, and Shivam Gangwar. "Modified Histogram Equalization for Non-uniform Illumination Underwater Image Enhancement." Journal of Advanced Research in Applied Sciences and Engineering Technology 61, no. 3 (2024): 151–62. https://doi.org/10.37934/araset.61.3.151162.

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Non-uniform illumination underwater image occasionally produced during image acquisition. Underwater image has low visibility due to light absorption and dispersion, therefore by using an artificial light source to increase visibility can occasionally result in different illumination regions in the image. In order to generate uniform illumination image and restore the loss details, image enhancement must be performed. Despite the fact that Histogram Equalization (HE) is well known and widely used in image enhancement, current HE-based approaches usually produce washed-out effects and have an u

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An, Ruochen, Shuxiang Guo, Yuanhua Yu, Chunying Li, and Tendeng Awa. "Multiple Bio-Inspired Father–Son Underwater Robot for Underwater Target Object Acquisition and Identification." Micromachines 13, no. 1 (2021): 25. http://dx.doi.org/10.3390/mi13010025.

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Underwater target acquisition and identification performed by manipulators having broad application prospects and value in the field of marine development. Conventional manipulators are too heavy to be used for small target objects and unsuitable for shallow sea working. In this paper, a bio-inspired Father–Son Underwater Robot System (FURS) is designed for underwater target object image acquisition and identification. Our spherical underwater robot (SUR), as the father underwater robot of the FURS, has the ability of strong dynamic balance and good maneuverability, can realize approach the ta

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Li, Dejun, Tao Zhang, and Canjun Yang. "Terminal Underwater Docking of an Autonomous Underwater Vehicle Using One Camera and One Light." Marine Technology Society Journal 50, no. 6 (2016): 58–68. http://dx.doi.org/10.4031/mtsj.50.6.6.

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AbstractThis study introduces a vision guidance system for the terminal underwater docking of an autonomous underwater vehicle (AUV) using one camera and one light. The configuration of this docking system, including an overview of the AUV and the docking station, is proposed. A detailed description of the vision guidance system is then provided. Four stages, namely, image acquisition, binarization of the captured images, elimination of noisy luminaries, and estimation of the relative position, constitute the image processing procedure. A tracking control algorithm based on the position of the

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Zhou, Jiajia, Junbin Zhuang, Yan Zheng, and Juan Li. "Area Contrast Distribution Loss for Underwater Image Enhancement." Journal of Marine Science and Engineering 11, no. 5 (2023): 909. http://dx.doi.org/10.3390/jmse11050909.

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In this paper, we aim to design a lightweight underwater image enhancement algorithm that can effectively solve the problem of color distortion and low contrast in underwater images. Recently, enhancement methods typically optimize a perceptual loss function, using high-level features extracted from pre-trained networks to train a feed-forward network for image enhancement tasks. This loss function measures the perceptual and semantic differences between images, but it is applied globally across the entire image and does not consider semantic information within the image, which limits the effe

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Yan, Dekun, Yaohuang Ruan, Xiaotong Wang, Yujie Chen, and Fang Kong. "Research on Underwater Skylight Orientation Based on Polarization." Journal of Physics: Conference Series 2832, no. 1 (2024): 012012. http://dx.doi.org/10.1088/1742-6596/2832/1/012012.

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Abstract Underwater skylight polarization orientation possesses various advantages, including high precision, strong anti-interference ability, high information acquisition rate, and the absence of error accumulation over time. To compute the polarization distribution of underwater skylight polarization image data, an image conversion algorithm is proposed. Subsequently, the least squares method is employed to extract the solar meridian from the polarization images, facilitating the calculation of underwater skylight polarization distribution and the high-precision extraction of polarization i

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Li, Chao, Yong Jie Pang, Ming Wei Sheng, and Hai Huang. "An Underwater Image Real-Time Registration Approach Based on SURF." Applied Mechanics and Materials 437 (October 2013): 888–93. http://dx.doi.org/10.4028/www.scientific.net/amm.437.888.

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In order to meet the demands of real-time performance and robustness for underwater image registration, a novel image registration method based on the SURF (Speeded-Up Robust Features) algorithm is proposed. During the image acquisition process, noise was generated inevitably because of many influencing factors such as atmospheric turbulence, camera defocus during image capturing or relative motion between the camera and the object. Firstly, median filter method was involved during the image preprocessing for underwater image contrast enhancement. Secondly, the SURF algorithm was used to obtai

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18

Zhang, Monan, Yichen Li, and Wenbin Yu. "Underwater Image Enhancement Algorithm Based on Adversarial Training." Electronics 13, no. 11 (2024): 2184. http://dx.doi.org/10.3390/electronics13112184.

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Ocean observation is the first step in the development of the ocean, whose abundant resources and strategic significance are attracting increasing attention. Observation methods based on visual sensor networks have received great attention from researchers due to their visualization capability and high information capacity. However, below the sea surface, objective factors such as blurriness, turbulence, and underwater color casting can cause image distortion and affect the acquisition of images. In this paper, the enhancement of underwater images is tackled using an adversarial learning-based

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19

Nawaf, Mohamad, Djamal Merad, Jean-Philip Royer, et al. "Fast Visual Odometry for a Low-Cost Underwater Embedded Stereo System †." Sensors 18, no. 7 (2018): 2313. http://dx.doi.org/10.3390/s18072313.

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This paper provides details of hardware and software conception and realization of a stereo embedded system for underwater imaging. The system provides several functions that facilitate underwater surveys and run smoothly in real-time. A first post-image acquisition module provides direct visual feedback on the quality of the taken images which helps appropriate actions to be taken regarding movement speed and lighting conditions. Our main contribution is a light visual odometry method adapted to the underwater context. The proposed method uses the captured stereo image stream to provide real-

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Liu, Tong, Sainan Zhang, and Zhibin Yu. "Redefining Accuracy: Underwater Depth Estimation for Irregular Illumination Scenes." Sensors 24, no. 13 (2024): 4353. http://dx.doi.org/10.3390/s24134353.

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Acquiring underwater depth maps is essential as they provide indispensable three-dimensional spatial information for visualizing the underwater environment. These depth maps serve various purposes, including underwater navigation, environmental monitoring, and resource exploration. While most of the current depth estimation methods can work well in ideal underwater environments with homogeneous illumination, few consider the risk caused by irregular illumination, which is common in practical underwater environments. On the one hand, underwater environments with low-light conditions can reduce

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Manu, D. K., and Karthik P. "Development and Implementation of AUV for Data Acquisition and Image Enhancement." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 4 (2020): 2088–93. https://doi.org/10.35940/ijeat.D9126.049420.

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In our proposed work, the developed Acoustic Unmanned Vehicle(AUV) moves in the direction of up/down. In general AUV is mainly used to for visual observation of the underwater environment by using a web camera. The acquired data from the AUV was preprocessed and the same image used for enhancement.. In this project, the image enhancement alogrithms has been implemented and the same has been computed for Canny Edge Detection, Hue, Luma and Saturation. From these computed results, we are able to enhance the quality of images for the conditions like low depth, low light intensity and color contra

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Liang, Yuan. "Swimming Teaching Effect Analysis Based on the Underwater Video Acquisition System." Applied Mechanics and Materials 687-691 (November 2014): 3946–49. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3946.

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During the 1990s, with the rapid development of science and technology, the human production and working mode or life-style have the huge transformation. In the sports field, researchers and teachers have the aid of modern science and technology resources to improve various teaching methods , which do help to master the technical action and improve the sports level. In the practical application, these teaching methods is more effectual than conventional method in sports skill learning. Use exploratory study method to develop a suitable and low-price underwater video acquisition system for dail

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Xue, Haopeng, Ronghua Li, Yongfeng Zhao, and Yuan Deng. "Polarization Imaging Method for Underwater Low-Visibility Metal Target Using Focus Dividing Plane." Applied Sciences 13, no. 4 (2023): 2054. http://dx.doi.org/10.3390/app13042054.

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Aiming at the problems of brightness attenuation and contrast reduction in the target image caused by underwater low-visibility environments, a metal target detection method based on split-focus plane polarization imaging is proposed. Firstly, a hybrid enhancement method is proposed to clarify the degraded polarization image. In this study, the GrayWorld method is improved to compensate the attenuation difference of the total light intensity of the polarization image. Variational contrast and saturation enhancement algorithms are used to reduce the underwater scattering effect; secondly, a spl

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Oliveira, António José, Bruno Miguel Ferreira, and Nuno Alexandre Cruz. "A Performance Analysis of Feature Extraction Algorithms for Acoustic Image-Based Underwater Navigation." Journal of Marine Science and Engineering 9, no. 4 (2021): 361. http://dx.doi.org/10.3390/jmse9040361.

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In underwater navigation, sonars are useful sensing devices for operation in confined or structured environments, enabling the detection and identification of underwater environmental features through the acquisition of acoustic images. Nonetheless, in these environments, several problems affect their performance, such as background noise and multiple secondary echoes. In recent years, research has been conducted regarding the application of feature extraction algorithms to underwater acoustic images, with the purpose of achieving a robust solution for the detection and matching of environment

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Ge, Luzhen, Gaili Gao, and Zhilun Yang. "Study on Underwater Sea Cucumber Rapid Locating Based on Morphological Opening Reconstruction and Max-Entropy Threshold Algorithm." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 07 (2018): 1850022. http://dx.doi.org/10.1142/s0218001418500222.

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In China, sea cucumber cultivation is developing rapidly, but sea cucumber catching still relies on inefficient manual work. Nowadays, the acquisition of underwater sea cucumber images and locating of sea cucumber target have provided technical support for underwater sea cucumber catching robots. However, there are still some problems to be solved, such as the degradation, edge blur and low contrast of underwater sea cucumber images due to the uneven light underwater and the absorption and scattering of light by water; and the cusp noises in the sea cucumber images produced by shells, gravers,

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Jonsson, P., I. Sillitoe, B. Dushaw, J. Nystuen, and J. Heltne. "Observing using sound and light – a short review of underwater acoustic and video-based methods." Ocean Science Discussions 6, no. 1 (2009): 819–70. http://dx.doi.org/10.5194/osd-6-819-2009.

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Abstract. This paper is a review which briefly describes a selection of acoustic observation techniques and certain aspects of underwater video technology suitable for observations in an underwater environment. The review is divided into two sections, one for each subject, where each section concludes with a discussion of the current challenges within the respective fields. The acoustic section of the review covers bathymetric and geometrical measurements, imaging sonars, subsurface penetrating profilers, positioning methods, acoustic underwater communication and sensor networks, and water spe

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Chen, Shuo, Jun Lei Song, Zi Min Yuan, Yang Liu, and Pei Pei Guo. "Diver Communication System Based on Underwater Optical Communication." Applied Mechanics and Materials 621 (August 2014): 259–63. http://dx.doi.org/10.4028/www.scientific.net/amm.621.259.

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The underwater diver visible light communication system integrating information collection, transmission and processing achieves the optical communication device established for the diver’s underwater wireless transmission and underwater sensor network. The front-end signal acquisition module capable of carrying out voice and image acquisition utilizes a MEMS digital microphone and a high performance CMOS camera to change optical signals in to digital ones. The signal source applies wavelet conversion and the channel coding and decoding apply Turbo algorithms, channel modulation and demodulati

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Zhao, Mengke, Yi Hao, Chunqiang Lu, and Suyi Li. "Design and Implementation of an Underwater Information Acquisition System Prototype Based on Optical Fiber Communication." International Journal of Digital Multimedia Broadcasting 2022 (May 31, 2022): 1–8. http://dx.doi.org/10.1155/2022/9648354.

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Ocean observation plays an important role in many areas, such as marine scientific research, environmental expedition, and resource exploitation. Traditional observation generally acquires periodical marine information and lacks real-time performances. To realize underwater observation of multi-information in real-time, an information acquisition system is designed in this study based on optical fiber communication. A multichannel interface between the diverse sensors and the slave computer is designed. It shields discrepancies of different sensor data and allows collecting information of vari

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Chen, Yuanming, Xiaobin Hong, Weiguo Chen, Huifang Wang, and Tianhui Fan. "Experimental Research on Overwater and Underwater Visual Image Stitching and Fusion Technology of Offshore Operation and Maintenance of Unmanned Ship." Journal of Marine Science and Engineering 10, no. 6 (2022): 747. http://dx.doi.org/10.3390/jmse10060747.

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The new way of offshore operation and maintenance based on unmanned ships has outstanding advantages. Aiming at the problem of lack of overall understanding of the complex environment above and under the water surface during the operation and maintenance of unmanned ships, a stitching and fusion technology of overwater and underwater visual images for unmanned ships is proposed. The software and hardware framework of the overwater and underwater visual image fusion system is constructed, the image processing methods in different environments are defined, and the accurate acquisition of obstacl

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Yu, Huapeng, Ziyuan Li, Dailin Li, and Tongsheng Shen. "Bottom Detection Method of Side-Scan Sonar Image for AUV Missions." Complexity 2020 (October 17, 2020): 1–9. http://dx.doi.org/10.1155/2020/8890410.

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In order to obtain the measurement parameters of the sea bottom geomorphology or underwater objects, the first step in side-scan sonar (SSS) image processing is bottom detection. Due to the complexity of the marine environment, the acoustic signals received by SSS are usually polluted by noises, which affect its image quality and make the extraction of image features difficult. To address this problem, this study proposes an automatic detection method for the sea bottom line based on the actual experimental acquisition of SSS images, which is supposed to support the autonomous underwater vehic

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Zhang, Feihu, Xujia Hou, Zewen Wang, Chensheng Cheng, and Tingfeng Tan. "Side-Scan Sonar Image Generator Based on Diffusion Models for Autonomous Underwater Vehicles." Journal of Marine Science and Engineering 12, no. 8 (2024): 1457. http://dx.doi.org/10.3390/jmse12081457.

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In the field of underwater perception and detection, side-scan sonar (SSS) plays an indispensable role. However, the imaging mechanism of SSS results in slow information acquisition and high complexity, significantly hindering the advancement of downstream data-driven applications. To address this challenge, we designed an SSS image generator based on diffusion models. We developed a data collection system based on Autonomous Underwater Vehicles (AUVs) to achieve stable and rich data collection. For the process of converting acoustic signals into image signals, we established an image compensa

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Guo, Gang. "Video Image Acquisition Technology of Underwater Vehicle Based on 3D Sensor." Journal of Coastal Research 97, sp1 (2019): 112. http://dx.doi.org/10.2112/si97-016.1.

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Wang, Wenhui, Yongqi Li, and Rufei He. "Design of real-time transmission system for underwater panoramic camera based on RTSP." PLOS ONE 20, no. 3 (2025): e0320000. https://doi.org/10.1371/journal.pone.0320000.

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The underwater environment is complex and variable, with limited transmission bandwidth and strong clutter and interference signals, which make the collected images susceptible to adverse effects such as attenuation and diffusion, resulting in image signal transmission congestion. In the current transmission system application process, the interference noise present in the collected original image will increase the average reprojection error of the image; And some systems have complex data collection processes, requiring the deployment of multiple sensors, which increases data transmission tim

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Balletti, C., C. Beltrame, E. Costa, F. Guerra, and P. Vernier. "UNDERWATER PHOTOGRAMMETRY AND 3D RECONSTRUCTION OF MARBLE CARGOS SHIPWRECK." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5/W5 (April 9, 2015): 7–13. http://dx.doi.org/10.5194/isprsarchives-xl-5-w5-7-2015.

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Nowadays archaeological and architectural surveys are based on the acquisition and processing of point clouds, allowing a high metric precision, essential prerequisite for a good documentation. Digital image processing and laser scanner have changed the archaeological survey campaign, from manual and direct survey to a digital one and, actually, multi-image photogrammetry is a good solution for the underwater archaeology. This technical documentation cannot operate alone, but it has to be supported by a topographical survey to georeference all the finds in the same reference system. In the las

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Li, Liang, Yiping Li, Hailin Wang, et al. "Side-Scan Sonar Image Generation Under Zero and Few Samples for Underwater Target Detection." Remote Sensing 16, no. 22 (2024): 4134. http://dx.doi.org/10.3390/rs16224134.

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The acquisition of side-scan sonar (SSS) images is complex, expensive, and time-consuming, making it difficult and sometimes impossible to obtain rich image data. Therefore, we propose a novel image generation algorithm to solve the problem of insufficient training datasets for SSS-based target detection. For zero-sample detection, we proposed a two-step style transfer approach. The ray tracing method was first used to obtain an optically rendered image of the target. Subsequently, UA-CycleGAN, which combines U-net, soft attention, and HSV loss, was proposed for generating high-quality SSS ima

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Ao, Jun, and Chunbo Ma. "Adaptive Stretching Method for Underwater Image Color Correction." International Journal of Pattern Recognition and Artificial Intelligence 32, no. 02 (2017): 1854001. http://dx.doi.org/10.1142/s0218001418540010.

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The physical properties of water lead to attenuation of light that travels through the water channel. The attenuation is dependent on the color spectrum wavelength, that results in low contrast and color cast in image acquisition. Several methods have been proposed to handle these problems, such as Linear Stretching, Histogram Equalization (HE) and their variants. Considering the advantages of HE and Linear Stretching, this paper presents a new Adaptive Linear Stretch method (ALS) which can efficiently improve the subjective impression of the traditional Linear Stretching and keep the computat

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Sokolova, Maria, Fletcher Thompson, Patrizio Mariani, and Ludvig Ahm Krag. "Towards sustainable demersal fisheries: NepCon image acquisition system for automatic Nephrops norvegicus detection." PLOS ONE 16, no. 6 (2021): e0252824. http://dx.doi.org/10.1371/journal.pone.0252824.

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Underwater video monitoring systems are being widely used in fisheries to investigate fish behavior in relation to fishing gear and fishing gear performance during fishing. Such systems can be useful to evaluate the catch composition as well. In demersal trawl fisheries, however, their applicability can be challenged by low light conditions, mobilized sediment and scattering in murky waters. In this study, we introduce a novel observation system (called NepCon) which aims at reducing current limitations by combining an optimized image acquisition setup and tailored image analyses software. The

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Zieja, Mariusz, Wojciech Wawrzyński, Justyna Tomaszewska, and Norbert Sigiel. "A Method for the Interpretation of Sonar Data Recorded during Autonomous Underwater Vehicle Missions." Polish Maritime Research 29, no. 3 (2022): 176–86. http://dx.doi.org/10.2478/pomr-2022-0038.

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Abstract Image acquisition from autonomous underwater vehicles (AUVs) is useful for mapping objects on the seabed. However, there are few studies on the interpretation of data collected with side-scan sonar during autonomous underwater vehicle missions. By recording the seabed with 3D multibeam sonar, a large number of survey points can be obtained. The collected data are processed using applications based on remote sensing image processing. The data collected during AUV missions (or other sonar carriers) needs to be pre-processed to reach the proper effectiveness level. This process includes

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Yang, Xiaoming, Shamsulariffin Samsudin, Yuxuan Wang, Yubin Yuan, Tengku Fadilah Tengku Kamalden, and Sam Shor Nahar bin Yaakob. "Application of Target Detection Method Based on Convolutional Neural Network in Sustainable Outdoor Education." Sustainability 15, no. 3 (2023): 2542. http://dx.doi.org/10.3390/su15032542.

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In order to realize the intelligence of underwater robots, this exploration proposes a submersible vision system based on neurorobotics to obtain the target information in underwater camera data. This exploration innovatively proposes a method based on the convolutional neural network (CNN) to mine the target information in underwater camera data. First, the underwater functions of the manned submersible are analyzed and mined to obtain the specific objects and features of the underwater camera information. Next, the dataset of the specific underwater target image is further constructed. The a

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Chen, Ming-Fu, Yi-Chiun Kung, Shih-Jie Chou, Wei-Shen Lo, and Chi-Kuei Wang. "Real-time image acquisition and deblurring for underwater gravel extraction by smartphone." International Journal of Automation and Smart Technology 4, no. 1 (2014): 5–11. http://dx.doi.org/10.5875/ausmt.v4i1.292.

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Hui, Nathan, Eric Lo, Dominique Rissolo, and Falko Kuester. "Lighting Model for Underwater Photogrammetric Captures." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2-2024 (June 11, 2024): 153–58. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-2024-153-2024.

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Abstract. Photogrammetry is an established technique for producing 3D representations of submerged structures in shallow, naturally lit environments. Natural light is not available in more extreme environments such as in the deep ocean or submerged caves, which are major applications for photogrammetric survey. Additionally, these environments are often accessed with resource-limited sensor platforms, necessitating efficient use of power constraining the level of artificial illumination that can be deployed. A method to estimate the amount of light needed to achieve sufficient image quality in

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Schiller, A., and P. Renard. "An optical laser device for mapping 3D geometry of underwater karst structures: first tests in the Ox Bel’Ha system, Yucatan, Mexico." Boletín Geológico y Minero 127, no. 1 (2016): 99–110. http://dx.doi.org/10.21701/bolgeomin.127.1.007.

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In the course of extended hydrological studies in the coastal Karst plain of Yucatan, near the town of Tulum amongst others, a novel laser scanning device was developed and applied for the acquisition of the 3d-geometry of groundwater conduits. The method is derived from similar industrial systems and for the first time adapted to the specific measurement conditions in underwater cave systems. The device projects a laser line over the whole perimeter at a certain position. This line represents the intersection of a plane with the cave walls. The line is imaged with a wide angle camera system.

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Longhi, Valeria, Nives Grasso, Paolo Felice Maschio, et al. "Underwater hyperspectral imagery for Posidonia oceanica mapping: challenges and preliminary results from the POSEIDON Project." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W10-2025 (July 7, 2025): 177–84. https://doi.org/10.5194/isprs-archives-xlviii-2-w10-2025-177-2025.

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Abstract. Posidonia oceanica (PO) meadows are important ecosystems in the Mediterranean, supporting biodiversity and ecosystem services, yet they face increasing threats due to anthropogenic pressures and climate change. To address these challenges, the POSEIDON project aims to develop ultra-high-resolution (UHR) and beyond ultra-high-resolution (BUHR) mapping methods for PO monitoring. This study focuses on underwater hyperspectral imagery (UHI) as a tool to complement and support the standard monitoring protocols established by ISPRA. Data were collected along the northern coast of Sardinia,

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Rashid, Ahmad Rafiuddin, and Arjun Chennu. "A Trillion Coral Reef Colors: Deeply Annotated Underwater Hyperspectral Images for Automated Classification and Habitat Mapping." Data 5, no. 1 (2020): 19. http://dx.doi.org/10.3390/data5010019.

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This paper describes a large dataset of underwater hyperspectral imagery that can be used by researchers in the domains of computer vision, machine learning, remote sensing, and coral reef ecology. We present the details of underwater data acquisition, processing and curation to create this large dataset of coral reef imagery annotated for habitat mapping. A diver-operated hyperspectral imaging system (HyperDiver) was used to survey 147 transects at 8 coral reef sites around the Caribbean island of Curaçao. The underwater proximal sensing approach produced fine-scale images of the seafloor, wi

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Liu, Huayu, Ying Li, Tao Qian, and Ye Tang. "Recent Progress in Ocean Intelligent Perception and Image Processing and the Impacts of Nonlinear Noise." Mathematics 13, no. 7 (2025): 1043. https://doi.org/10.3390/math13071043.

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Deep learning network models are crucial in processing images acquired from optical, laser, and acoustic sensors in ocean intelligent perception and target detection. This work comprehensively reviews ocean intelligent perception and image processing technology, including ocean intelligent perception devices and image acquisition, image recognition and detection models, adaptive image processing processes, and coping methods for nonlinear noise interference. As the core tasks of ocean image processing, image recognition and detection network models are the research focus of this article. The f

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Baek, Hyuk, Bong-Huan Jun, and Myounggyu D. Noh. "The Application of Sector-Scanning Sonar: Strategy for Efficient and Precise Sector-Scanning Using Freedom of Underwater Walking Robot in Shallow Water." Sensors 20, no. 13 (2020): 3654. http://dx.doi.org/10.3390/s20133654.

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In this paper, we discuss underwater walking robot technology to improve the quality of raw data in sector-scanning sonar images. We propose a strategy for an efficient and precise sector-scanning sonar image acquisition method for use in shallow, strong tidal water with a curved and sloped seabed environment. We verified the strategy by analyzing images acquired through a sea trial using the sector-scanning sonar installed on the CRABSTER (CR200). Before creating this strategy, an experiment was conducted to acquire the seabed image near a pier using a tripod and vertical pole. To overcome th

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Xue, Qingsheng, Qian Sun, Fupeng Wang, Haoxuan Bai, Bai Yang, and Qian Li. "Underwater High-Precision 3D Reconstruction System Based on Rotating Scanning." Sensors 21, no. 4 (2021): 1402. http://dx.doi.org/10.3390/s21041402.

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This paper presents an underwater high-precision line laser three-dimensional (3D) scanning (LLS) system with rotary scanning mode, which is composed of a low illumination underwater camera and a green line laser projector. The underwater 3D data acquisition can be realized in the range of field of view of 50° (vertical) × 360° (horizontal). We compensate the refraction of the 3D reconstruction system to reduce the angle error caused by the refraction of light on different media surfaces and reduce the impact of refraction on the image quality. In order to verify the reconstruction effect of t

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Piazza, P., V. Cummings, D. Lohrer, et al. "DIVERS-OPERATED UNDERWATER PHOTOGRAMMETRY: APPLICATIONS IN THE STUDY OF ANTARCTIC BENTHOS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2 (May 30, 2018): 885–92. http://dx.doi.org/10.5194/isprs-archives-xlii-2-885-2018.

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Ecological studies about marine benthic communities received a major leap from the application of a variety of non-destructive sampling and mapping techniques based on underwater image and video recording. The well-established scientific diving practice consists in the acquisition of single path or ‘round-trip’ over elongated transects, with the imaging device oriented in a nadir looking direction. As it may be expected, the application of automatic image processing procedures to data not specifically acquired for 3D modelling can be risky, especially if proper tools for assessing the quality

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Prado, E., M. Gómez-Ballesteros, A. Cobo, et al. "3D MODELING OF RIO MIERA WRECK SHIP MERGING OPTICAL AND MULTIBEAM HIGH RESOLUTION POINTS CLOUD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W10 (April 17, 2019): 159–65. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w10-159-2019.

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<p><strong>Abstract.</strong> 3D reconstruction and virtual reality (VR) technology provide many opportunities for the documentation and dissemination of underwater cultural heritage. Advances in the development of underwater exploration technology have allowed for the first time to accurately reconstruct a complete 3D model of the cargo Río Miera in the Cantabrian Sea. Sunk on December 6, 1951 after a strong collision, the cargo ship Río Miera rests on a sandy bottom about 40 meters deep, very close to the Cantabrian coast. Located in an area of strong currents is a classic

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Francisco, Francisco, and Jan Sundberg. "Detection of Visual Signatures of Marine Mammals and Fish within Marine Renewable Energy Farms using Multibeam Imaging Sonar." Journal of Marine Science and Engineering 7, no. 2 (2019): 22. http://dx.doi.org/10.3390/jmse7020022.

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Techniques for marine monitoring have been greatly evolved over the past decades, making the acquisition of environmental data safer, more reliable and more efficient. On the other hand, the marine renewable energy sector has introduced dissimilar ways of exploring the oceans. Marine energy is mostly harvested in murky and high energetic places where conventional data acquisition techniques are impractical. This new frontier on marine operations brings the need for finding new techniques for environmental data acquisition, processing and analysis. Modern sonar systems, operating at high freque

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