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Journal articles on the topic 'Single Digital Image'

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1

Akbulut, Harun. "Visible Digital Image Watermarking Using Single Candidate Optimizer." Düzce Üniversitesi Bilim ve Teknoloji Dergisi 13, no. 1 (2025): 506–21. https://doi.org/10.29130/dubited.1532300.

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With the advent of internet technologies, accessing information has become remarkably facile, while concurrently precipitating copyright conundrums. This predicament can be ameliorated by embedding copyright information within digital images, a methodology termed digital image watermarking. Artificial intelligence optimization algorithms are extensively employed in myriad problem-solving scenarios, yielding efficacious outcomes. This study proposes a visible digital image watermarking method utilizing the Single Candidate Optimizer (SCO). Contrary to many prevalent metaheuristic optimization a
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Yogaswara, Yuri, and Fourier Dzar Eljabbar Latief. "Digital Image Analysis Of Single Rectangular Slit Fraunhofer Diffraction Patterns." Indonesian Journal of Physics 30, no. 2 (2019): 8–13. http://dx.doi.org/10.5614/itb.ijp.2019.30.2.2.

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Study of the single rectangular slit Fraunhofer diffraction pattern has been carried out through experiments. Data acquisition was done by manually measuring the distance of the bright and dark diffraction patterns using millimeter block paper and by means of digital images analysis of the diffraction patterns. The digital images were used to obtain the bright and dark intensity data of the pattern as the function of the distance from the center of the pattern. The process of obtaining the data was carried out as follows: image acquisition, image digitization, image quality enhancement, graphi
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Kirk, R. L., D. P. Mayer, C. M. Dundas, B. H. Wheeler, R. A. Beyer, and O. Alexandrov. "COMPARISON OF DIGITAL TERRAIN MODELS FROM TWO PHOTOCLINOMETRY METHODS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2022 (May 30, 2022): 1059–67. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2022-1059-2022.

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Abstract. We evaluate the horizontal resolution and vertical precision for digital topographic models (DTMs) of the Moon derived from image radiance information, a process known as photoclinometry (PC) or shape-from-shading (SfS). We use the implementations in two available planetary image processing software systems, single image PC in the U.S. Geological Survey Integrated Software for Imagers and Spectrometers (ISIS) system, and multi-image SfS in the Ames Stereo Pipeline (ASP), and test results obtained with and without use of a starting solution from stereo, with single and multiple images
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Zhao, Xiao Mei, Yong Cong An, Xin Li, and Xiang Yi Duan. "Application of Digital Watermarking Technology in Anti-Counterfeit Packaging." Applied Mechanics and Materials 469 (November 2013): 292–95. http://dx.doi.org/10.4028/www.scientific.net/amm.469.292.

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Hiding information in a color image is an effective method for the purpose of anti-counterfeiting, it can accurately identify authenticity in a certain range, and it is not easy to be copied and replicated. A new kind of watermarking algorithm for halftone images is proposed. Firstly the color image is treated as R, G, B single channel images, by using error diffusion algorithm the single channel image is converted into a halftone image, and then the watermark information is embedded in the halftone image by the proposed scheme of pixel swapping. Experimental results show that large amount of
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Endo, Yutaka, and Gai Nakajima. "Compressive phase object classification using single-pixel digital holography." Optics Express 30, no. 15 (2022): 28057. http://dx.doi.org/10.1364/oe.463395.

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A single-pixel camera (SPC) is a computational imaging system that obtains compressed signals of a target scene using a single-pixel detector. The compressed signals can be directly used for image classification, thereby bypassing image reconstruction, which is computationally intensive and requires a high measurement rate. Here, we extend this direct inference to phase object classification using single-pixel digital holography (SPDH). Our method obtains compressed measurements of target complex amplitudes using SPDH and trains a classifier using those measurements for phase object classifica
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Dojanah Mohammad Kadri Bader, Dojanah Mohammad Kadri Bader, and Ziad Alqadi. "Digital Image Features Stabilization for Several Different Rotation Modes." International Journal of Computer Science and Mobile Computing 11, no. 11 (2022): 209–18. http://dx.doi.org/10.47760/ijcsmc.2022.v11i11.018.

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Gray and color digital images are used in many vital applications; such as fingerprint or face recognition. These applications require dealing with the digital image as a single image, even if this image is rotated with different rotation angles. This paper deals with using the digital image histogram to set image features and for multiple models of image rotation. A detailed study and analysis of wavelet packet tree decomposition will be introduced; various experiments will be done to show how to stabilize the image features for multiple modes of the image.
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Chhabra, Sahil, Neeraj Kumar Jain, and Vipin Tomar. "PVO-Based Multiple Message Segment Reversible Data Hiding." International Journal of Distributed Artificial Intelligence 11, no. 1 (2019): 25–33. http://dx.doi.org/10.4018/ijdai.2019010103.

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In this article, a reversible data hiding technique is proposed to embed multiple segments of a single message into a single cover image. This multiple message segment technique uses a pixel value ordering approach to embed the secret message. The splitting and randomization of the original secret message provides security from an attacker There are many digital formats for data hiding, like images, audio, and video, of which the digital image is the simplest format. Data hiding in image processing refers to inserting the secret message into digital images. Reversible data hiding (RDH) is a lo
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8

Samarina, Olga V., and Valery A. Samarin. "Determination of invariant characteristics for digital image and their calculation in the MatLab system." Yugra State University Bulletin 19, no. 1 (2023): 77–82. http://dx.doi.org/10.18822/byusu20230177-82.

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Subject of research: single-channel digital image, second-order invariants to movements and stretching.
 Purpose of research: to determine a new group of invariants of a single-channel digital image with respect to shifts, rotations and stretching.
 Methods and objects of research: the object of research is single-channel images. The developed computational algorithms are based on the complex use of analytical and geometric research methods, the theory of invariants and wavelets.
 Main results of research: a computational scheme for determining the group of invariant characteris
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9

Bhadoria, Ajeeta Singh, and Vandana Vikas Thakre. "Improved Single Haze Removal using Weighted Filter and Gaussian-Laplacian." International Journal of Electrical and Electronics Research 8, no. 2 (2020): 26–31. http://dx.doi.org/10.37391/ijeer.080201.

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Generally computer applications use digital images. Digital image plays a vital role in the analysis and explanation of data, which is in the digital form. Images and videos of outside scenes are generally affected by the bad weather environment such as haze, fog, mist etc. It will result in bad visibility of the scene caused by the lack of quality. This paper exhibits a study about various image defogging techniques to eject the haze from the fog images caught in true world to recuperate a fast and enhanced nature of fog free images. In this paper, we propose a simple but effective the weight
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Sabitha, Ch, and Eluri Suneetha. "Advancements in image processing: Towards near-reversible data hiding and enhanced dehazing using deep learning." i-manager’s Journal on Pattern Recognition 11, no. 2 (2024): 10. https://doi.org/10.26634/jpr.11.2.21284.

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In the age of digital transformation, image processing techniques play a crucial role in various applications, ranging from security to entertainment. This paper explores two significant advancements in the field: near-reversible data hiding schemes and deep learning-based single-image dehazing techniques. Near-reversible data hiding focuses on embedding secret information into digital images with minimal distortion, ensuring that the original image can be almost perfectly recovered. Conversely, deep learning-based single-image dehazing aims to enhance the quality and robustness of images affe
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11

Cao, Xin, Ya Na Zhang, and Li Han. "Study on Dehazing Technology of Digital Image." Advanced Materials Research 1022 (August 2014): 265–68. http://dx.doi.org/10.4028/www.scientific.net/amr.1022.265.

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The case of fog and haze get degraded images, its physical mechanism and atmospheric attenuation model were studied and analyzed, and the current recovery is better in the field of algorithms. This paper first present a filter-based optimization method based on the image edge information structure information and designs a special filter; then estimate the atmospheric scattering of light transmission rate, the design of a rapid removal of a single image haze algorithm, to achieve a faster and better recovery image haze.
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12

Roy, Sangita, and Sheli Sinha Chaudhuri. "Fast Single Image Haze Removal Scheme Using Self-Adjusting." International Journal of Virtual and Augmented Reality 3, no. 1 (2019): 42–57. http://dx.doi.org/10.4018/ijvar.2019010103.

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At present the classical problem of visibility improvement is hot topic of research. An image formation optical model is presented where a clear day image has high contrast with respect to an image plagued with bad weather. A degraded daytime image has high intensity with minimum deviation among pixels in every channel. No reference digital image haze removal is a problem. The static haziness factor for all types of images cannot be applicable for effective haze removal. A minimum intensity channel of the three RGB channels is estimated as transmission of an image with a dynamic haziness facto
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Chen, Zhenpeng, Yuanjie Zheng, Xiaojie Li, et al. "Interactive Trimap Generation for Digital Matting Based on Single-Sample Learning." Electronics 9, no. 4 (2020): 659. http://dx.doi.org/10.3390/electronics9040659.

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Image matting refers to the task of estimating the foreground of images, which is an important problem in image processing. Recently, trimap generation has attracted considerable attention because designing a trimap for every image is labor-intensive. In this paper, a two-step algorithm is proposed to generate trimaps. To use the proposed algorithm, users must only provide some clicks (foreground clicks and background clicks), which are employed as the input to generate a binary mask. One-shot learning technique achieves remarkable progress on semantic segmentation, we extend this technique to
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14

Santoyo-Garcia, Hector, Eduardo Fragoso-Navarro, Rogelio Reyes-Reyes, Clara Cruz-Ramos, and Mariko Nakano-Miyatake. "Visible Watermarking Technique Based on Human Visual System for Single Sensor Digital Cameras." Security and Communication Networks 2017 (2017): 1–18. http://dx.doi.org/10.1155/2017/7903198.

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In this paper we propose a visible watermarking algorithm, in which a visible watermark is embedded into the Bayer Colour Filter Array (CFA) domain. The Bayer CFA is the most common raw image representation for images captured by single sensor digital cameras equipped in almost all mobile devices. In proposed scheme, the captured image is watermarked before it is compressed and stored in the storage system. Then this method enforces the rightful ownership of the watermarked image, since there is no other version of the image rather than the watermarked one. We also take into consideration the
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15

Погорелов, Артем Витальевич, Вадим Евгеньевич Саваневич та Вадим Евгеньевич Саваневич. "ОБЧИСЛЮВАЛЬНИЙ МЕТОД СЕГМЕНТАЦІЇ ПРОТЯЖНИХ ЗОБРАЖЕНЬ ОБ'ЄКТІВ НА ЦИФРОВИХ ЗОБРАЖЕННЯХ". Radioelectronic and Computer Systems, № 4 (26 березня 2019): 4–16. http://dx.doi.org/10.32620/reks.2017.4.01.

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This article describes the computational method for segmenting smoothed objects images on digital images is developed. To reduce computational costs the segmentation is carried out only in areas extracted by the computational method of single objects images segmentation on digital images.Segmentation of smoothed images is carried out sequentially in each selected segment. To reduce computational costs only segments that contain more than one peak are analyzed. Such segments may contain either fragments of smoothed image, or a statistically dependent image of a compact group of objects. In this
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16

Savanevych, Vadym, Sergii Khlamov, Vladimir Vlasenko, et al. "Formation of a typical form of an object image in a series of digital frames." Eastern-European Journal of Enterprise Technologies 6, no. 2 (120) (2022): 51–59. http://dx.doi.org/10.15587/1729-4061.2022.266988.

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A computational method for the automated formation of a typical form of a digital image of the investigated objects on a series of digital frames has been developed. Due to the imperfection of the mounting of digital cameras, as well as their automated mounts, their immobility at shooting during exposure time can be disturbed, which leads to the formation of "blurred" images of objects of various forms. Due to such inaccuracies in the tracking of objects on digital frames, even in one series, the typical form of the image of objects can vary from frame to frame. This fact of the difference in
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17

ZHANG, Shuhe, and Liangcai CAO. "Digital diffraction method for single retinal image enhancement." Optics and Precision Engineering 32, no. 15 (2024): 2429–38. http://dx.doi.org/10.37188/ope.20243215.2429.

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18

Li, Xiaoyu, Chen Tang, Xinjun Zhu, Biyuan Li, Linlin Wang, and Xiusheng Yan. "Image/video encryption using single shot digital holography." Optics Communications 342 (May 2015): 218–23. http://dx.doi.org/10.1016/j.optcom.2014.12.082.

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19

Lebrun, M., M. Colom, A. Buades, and J. M. Morel. "Secrets of image denoising cuisine." Acta Numerica 21 (April 19, 2012): 475–576. http://dx.doi.org/10.1017/s0962492912000062.

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Digital images are matrices of equally spaced pixels, each containing a photon count. This photon count is a stochastic process due to the quantum nature of light. It follows that all images are noisy. Ever since digital images have existed, numerical methods have been proposed to improve the signal-to-noise ratio. Such ‘denoising’ methods require a noise model and an image model. It is relatively easy to obtain a noise model. As will be explained in the present paper, it is even possible to estimate it from a single noisy image.
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20

Onoja, GU, and T. Aboiyar. "Digital Image Segmentation Using Delaunay Triangulation Algorithm." NIGERIAN ANNALS OF PURE AND APPLIED SCIENCES 3, no. 2 (2020): 268–83. http://dx.doi.org/10.46912/napas.83.

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Image segmentation is the process of partitioning a digital image into multiple segments according to some homogeneity criterion. Different approaches are suited to different types of images and the quality of output of a particular algorithm is difficult to measure quantitatively due to the fact that there may be much “correct” segmentation for a single image. Although the field encounters several challenges, this research work seeks to present a segmentation algorithm for gray intensity images. Image features extraction is first performed to obtain the approximate, if not exact, representati
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Li, Chun-mei, Ka-zhong Deng, Jiu-yun Sun, and Hui Wang. "Compressed Sensing, Pseudodictionary-Based, Superresolution Reconstruction." Journal of Sensors 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/1250538.

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The spatial resolution of digital images is the critical factor that affects photogrammetry precision. Single-frame, superresolution, image reconstruction is a typical underdetermined, inverse problem. To solve this type of problem, a compressive, sensing, pseudodictionary-based, superresolution reconstruction method is proposed in this study. The proposed method achieves pseudodictionary learning with an available low-resolution image and uses theK-SVD algorithm, which is based on the sparse characteristics of the digital image. Then, the sparse representation coefficient of the low-resolutio
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Ruban, Igor, Nataliia Bolohova, and Vitalii Martovytskyi. "Information technology for confirming property rights to digital images." Advanced Information Systems 6, no. 1 (2022): 118–23. http://dx.doi.org/10.20998/2522-9052.2022.1.19.

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In the modern world, the image is becoming a more powerful means of communication. In the era of digitalization, people can express their thoughts, feelings, and more through images. The main difficulty of the author is always how to prove his authorship. Therefore, the development of the latest technologies for confirming authorship of digital images is relevant. The object of the study is the process of confirming the fact of the right to own a digital image. The subject of the study is the information technology of proof of authorship for digital images. Taking into account modern trends an
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Denault, Lauraine, Robin de la Parra, and Claude von Roesgen. "Managing digital images with SEM viewer™." Proceedings, annual meeting, Electron Microscopy Society of America 52 (1994): 460–61. http://dx.doi.org/10.1017/s0424820100170037.

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In 1992 Millipore's Corporate SEM Lab made the transition from conventional analog recording of images to digital acquisition and archival. Commonly requested images could be easily and reliably retrieved, without significant loss of image quality or resolution.In theory, digital images could be sent over a network to desktop PC's for review, (rather than producing hard copy of all images). Using established wide area network system, the scope of incorporating digital images significantly broadened. A significant barrier appeared in that the images were acquired using two different hardware/so
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24

Vadym, Savanevych, Khlamov Sergii, Vlasenko Vladimir, et al. "Formation of a typical form of an object image in a series of digital frames." Eastern-European Journal of Enterprise Technologies 6, no. 2 (120) (2022): 51–59. https://doi.org/10.15587/1729-4061.2022.266988.

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A computational method for the automated formation of a typical form of a digital image of the investigated objects on a series of digital frames has been developed. Due to the imperfection of the mounting of digital cameras, as well as their automated mounts, their immobility at shooting during exposure time can be disturbed, which leads to the formation of "blurred" images of objects of various forms. Due to such inaccuracies in the tracking of objects on digital frames, even in one series, the typical form of the image of objects can vary from frame to frame. This fact of the diff
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25

Gill, Jasmeen, Akshay Girdhar, and Tejwant Singh. "A Review of Enhancement and Segmentation Techniques for Digital Images." International Journal of Image and Graphics 19, no. 03 (2019): 1950013. http://dx.doi.org/10.1142/s021946781950013x.

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Image enhancement and segmentation are the two imperative steps while processing digital images. The goal of enhancement is to improve the quality of images so as to nullify the effect of poor illumination conditions during image acquisition. Afterwards, segmentation is performed to extract region of interest (ROI) from the background details of the image. There is a vast literature available for both the techniques. Therefore, this paper is intended to summarize the basic as well as advanced enhancement and segmentation techniques under a single heading; to provide an insight for future resea
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Abat, Vahide Hazal, and Rabia Figen Kaptan. "How Do Different Image Modules Impact the Accuracy of Working Length Measurements in Digital Periapical Radiography? An In Vitro Study." Diagnostics 15, no. 3 (2025): 305. https://doi.org/10.3390/diagnostics15030305.

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Background/Objectives: This study aims to evaluate the accuracy of digital dental radiography in determining working length in root canal treatment via various image modules. Methods: A total of 40 intact single-rooted, single-canal human premolar teeth were examined. Following meticulous cleaning, the teeth were placed in a maxillary premolar socket within a dry human skull. X-ray images were systematically captured via a Carestream RVG digital sensor under standardized conditions. The digital images are processed under five distinct image modules: 1. original module, 2. autoenhancement modul
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Nawaz, Marriam, Zahid Mehmood, Muhammad Bilal, et al. "Single and multiple regions duplication detections in digital images with applications in image forensic." Journal of Intelligent & Fuzzy Systems 40, no. 6 (2021): 10351–71. http://dx.doi.org/10.3233/jifs-191700.

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‘With the help of powerful image editing software, various image modifications are possible which are known as image forgeries. Copy-move is the easiest way of image manipulation, wherein an area of the image is copied and replicated in the same image. The major reason for performing this forgery is to conceal undesirable contents of the image. Thus, means are required to unveil the presence of duplicated areas in an image. In this article, an effective and efficient approach for copy-move forgery detection (CMFD) is proposed, which is based on stationary wavelet transform (SWT), speeded-up ro
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28

Zhang, Xinyu, Boyuan Cheng, Xiaosong Yang, Zhidong Xiao, Jianjun Zhang, and Lihua You. "Improving Single-Image Super-Resolution with Dilated Attention." Electronics 13, no. 12 (2024): 2281. http://dx.doi.org/10.3390/electronics13122281.

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Single-image super-resolution (SISR) techniques have become a vital tool for improving image quality and clarity in the rapidly evolving field of digital imaging. Convolutional neural network (CNN) and transformer-based SISR techniques are very popular. However, CNN-based techniques are not suitable when capturing long-range dependencies, and transformer-based techniques suffer from computational complexity. To tackle these problems, this paper proposes a novel method called dilated attention-based single-image super-resolution (DAIR). It comprises three components: low-level feature extractio
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Fay, F. S., Kevin Fogarty, Richard Tuft, and Walter Carrington. "New views inside cells with a digital imaging microscope." Proceedings, annual meeting, Electron Microscopy Society of America 49 (August 1991): 240–41. http://dx.doi.org/10.1017/s0424820100085502.

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Many current questions in cell biology revolve around questions regarding how changes in cell function are caused by changes in their molecular composition. Given that cells are highly organized structures often carrying out diverse functions in different compartments, it follows that changes in specific cell functions must involve highly localized changes in molecular composition.We have been involved in the development of the digital imaging microscope as a tool to investigate the distribution of molecules inside single living cells. The system measures fluorescence of probes that are highly
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Liao, Yi-Hong, Manzhu Xu, and Song Zhang. "Digital image correlation assisted absolute phase unwrapping." Optics Express 30, no. 18 (2022): 33022. http://dx.doi.org/10.1364/oe.470704.

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This paper presents an absolute phase unwrapping method for high-speed three-dimensional (3D) shape measurement. This method uses three phase-shifted patterns and one binary random pattern on a single-camera, single-projector structured light system. We calculate the wrapped phase from phase-shifted images and determine the coarse correspondence through the digital image correlation (DIC) between the captured binary random pattern of the object and the pre-captured binary random pattern of a flat surface. We then developed a computational framework to determine fringe order number pixel by pix
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31

Roy, Sangita. "BBMS: Investigation to Single Colour Image Visibility Improvement in Turbid Media through Biorthogonal Wavelet Based Depth-map Estimation." Scientific Visualization 16, no. 2 (2024): 23–44. http://dx.doi.org/10.26583/sv.16.2.03.

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Electronic imaging needs good quality, high resolution (HR) digital images for highlighting finer details of the image. Normally images captured by ordinary digital camera are post pro cessed with available software instead of high cost CMOS sensor phased camera. Problem commonly faced with these images may get degraded due to the scattering media which deteriorates contrast, shifts colour, and make overall image whitish. Information from the distant objects suffer from poor medium transmission as well as noise amplification. Biorthogonal wavelet denoising (BWD), compress sparsely in frequency
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Karim, Karim S., and Steven Tilley II. "Portable Single-Exposure Dual-Energy X-ray Detector for Improved Point-of-Care Diagnostic Imaging." Military Medicine 188, Supplement_6 (2023): 84–91. http://dx.doi.org/10.1093/milmed/usad034.

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ABSTRACT Introduction Dual-energy subtraction (DES) imaging is well known to reduce anatomical noise and enable material classification. The current approaches to DES imaging have trade-offs, such as motion artifacts, low sensitivity because of losses in a mid-filter, and lack of portability. Recently, a portable triple-layer flat-panel detector (FPD) was proposed for use in single-shot DES imaging that can provide improved sensitivity and removal of motion artifacts in a point-of-care setting. The purpose of this study is to evaluate the feasibility of such a detector. Various image quality m
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Peng, Sijia, and Guojing Yu. "Image Stitching Technology in 3D Film Production Based on Digital Image Processing." International Transactions on Electrical Energy Systems 2022 (August 31, 2022): 1–13. http://dx.doi.org/10.1155/2022/5688273.

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Image stitching in 3D film production synchronizes multiple independent frame images as a single high-resolution output. The stitching process is common for displaying a large coverage or shot in a single frame containing distinct images. For improving the realistic accuracy of 3D film images, this manuscript introduces an Itinerant Pixel-Matching-based Stitching Process (IPMSP). The proposed stitching process relies on cross-sectional pixels identified in merging two or more images. Based on the linear cumulative distribution in augmenting images, the homogeneity feature is identified. If the
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Willis, Holly. "Images Big and Soft: The Digital Archive Rendered Cinematic." Frames Cinema Journal 19 (February 18, 2022): 185–209. http://dx.doi.org/10.15664/fcj.v19i0.2379.

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In his recent immersive media art project titled Machine Hallucinations, artist Refik Anadol collected over 100 million images of New York City from social media and, using machine learning, created a 30-minute immersive experimental cinema experience that visualized the database. On his website, Anadol explains that computation allows “a novel form of synesthetic storytelling through its multilayered manipulation of a vast visual archive beyond the conventional limits of the camera and the existing cinematographic techniques.” With this project, Anadol demonstrates a tendency shared by a grou
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Gopalakrishnan, T., Hussein Z. Almngoshi, Vijaya Kumar Koppula, et al. "Fractal image compression using digital cone metric space." Journal of Interdisciplinary Mathematics 28, no. 2 (2025): 647–58. https://doi.org/10.47974/jim-2108.

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This work presents Fixed Point Theorems (FPT) on Digital Images (DI) based on the Banach contraction concept developed. The study aims to develop the application of Banach Contraction Mapping Theory (BCMT) for DI, which was presented. The following finding generates a single Fixed Point (FP) for DI, exploring the core idea of DI and implementing the FPT in the context of Digital Image Compression (DIC). Fractal Image Compression (FIC) is a standard method for DIC. It is founded on a search for an object that is accurately in the image. However, a significant problem with DIC is its computation
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Kozlova, Y. K., and V. V. Myasnikov. "Head model reconstruction and animation method using color image with depth information." Computer Optics 48, no. 1 (2024): 118–22. http://dx.doi.org/10.18287/2412-6179-co-1334.

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The article presents a method for reconstructing and animating a digital model of a human head from a single RGBD image, a color RGB image with depth information. An approach is proposed for optimizing the parametric FLAME model using a point cloud of a face corresponding to a single RGBD image. The results of experimental studies have shown that the proposed optimization approach makes it possible to obtain a head model with more prominent features of the original face compared to optimization approaches using RGB images or the same approaches generalized to RGBD images.
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Mohamed, A. M. Abbas, F. Shaker Ibrahim, K. Abdel-Gawad Ahmed, and Al Din I. Awad Alaa. "Simplifying of DLT Equations for a Single Digital Image and its Application in Architectural Façades Documentation." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 2120–27. https://doi.org/10.35940/ijeat.C4736.029320.

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Survey of architectural façades to obtain elevation drawings is an essential, especially in case of maintenance, restoration, ...etc. On the other hand, the rapid progress of the obtained image size captured by digital cameras opens new areas for the captured images to be used in photogrammetry. One of these new areas is the use of a single digital image for surveying and recording of architectural façades. So, the main objective of the current research is to develop a computer algorithm using least squares adjustment method for studying the practical visibility, applicability, a
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Khor, Hui Liang, Siau-Chuin Liew, and Jasni Mohd Zain. "Parallel Digital Watermarking Process on Ultrasound Medical Images in Multicores Environment." International Journal of Biomedical Imaging 2016 (2016): 1–14. http://dx.doi.org/10.1155/2016/9583727.

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With the advancement of technology in communication network, it facilitated digital medical images transmitted to healthcare professionals via internal network or public network (e.g., Internet), but it also exposes the transmitted digital medical images to the security threats, such as images tampering or inserting false data in the images, which may cause an inaccurate diagnosis and treatment. Medical image distortion is not to be tolerated for diagnosis purposes; thus a digital watermarking on medical image is introduced. So far most of the watermarking research has been done on single fram
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Gopatoti, Anandbabu, Veeranjaneyulu Ganipisetty, and Chandra Naik Merajothu. "Impulse Noise Removal in Digital Images by using Image Fusion Technique." Journal of Advanced Research in Dynamical and Control Systems 10, no. 6S (2018): 566–77. https://doi.org/10.5281/zenodo.11037845.

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This technique is implemented in reducing impulse noise from the digital images and to acquire noise free image. Image fusion technique means that fusing or combination of two or more images with different or similar constraints to form a single image with all the information in each image not being strayed. Normally to reduce noise from an image we use different filtering algorithms and the outputs of those algorithms are fused together to form a perfect image without noise. In this paper we intend to use five different filtering algorithms individually to and image captured by a sensor. The
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kala, Shawetangi. "ICA based Image denoising for Single-Sensor Digital Cameras." IOSR Journal of Engineering 02, no. 03 (2012): 446–50. http://dx.doi.org/10.9790/3021-0203446450.

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Chen, J., X. Zhang, and R. Wang. "Microdeformation measurement via single-element extended digital image correlation." Journal of Strain Analysis for Engineering Design 46, no. 5 (2011): 327–36. http://dx.doi.org/10.1177/0309324711406652.

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Forchheimer, Robert, Keping Chen, Christer Svensson, and Anders Ödmark. "Single-chip image sensors with a digital processor array." Journal of VLSI signal processing systems for signal, image and video technology 5, no. 2-3 (1993): 121–31. http://dx.doi.org/10.1007/bf01581289.

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Wang, Yi Hong, Shi Feng Tao, and Jun Chen. "Image Fusion Technology Application in Water Quality Monitoring Based on Digital Microscopic." Applied Mechanics and Materials 295-298 (February 2013): 909–14. http://dx.doi.org/10.4028/www.scientific.net/amm.295-298.909.

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In the process of water quality monitoring based on microscopic examination of the activated sludge, low-contrast images can be captured sometimes when manual observation is being replaced by automated observation based on machine vision. It is difficult to accurately detect the target complete edge in a low-contrast image with a single image-segmentation method. The idea provided is in the paper that the low-contrast image is firstly segmented by Canny operator and mathematical morphology respectively, and then the two segmented images are fused based on wavelet transform. In order to verify
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Szczepański, Marek, and Filip Giemza. "Noise Removal in the Developing Process of Digital Negatives." Sensors 20, no. 3 (2020): 902. http://dx.doi.org/10.3390/s20030902.

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Most modern color digital cameras are equipped with a single image sensor with a color filter array (CFA). One of the most important stages of preprocessing is noise reduction. Most research related to this topic ignores the problem associated with the actual color image acquisition process and assumes that we are processing the image in the sRGB space. In the presented paper, the real process of developing raw images obtained from the CFA sensor was analyzed. As part of the work, a diverse database of test images in the form of a digital negative and its reference version was prepared. The ma
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Valentini, Chiara, Stefania Romenti, Grazia Murtarelli, and Marta Pizzetti. "Digital visual engagement: influencing purchase intentions on Instagram." Journal of Communication Management 22, no. 4 (2018): 362–81. http://dx.doi.org/10.1108/jcom-01-2018-0005.

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PurposeThe purpose of this paper is to investigate the effects of visual communications on Instagram users’ propensity to engage with image-based content through online behaviors such as liking, sharing, commenting and following, and their intention to purchase the product depicted in the visual communications.Design/methodology/approachAn experimental design was used to measure the effect of branded Instagram images on a sample of active Instagram users. Two features of Instagram images (subject’s gaze: direct vs indirect; product salience: low vs high) were manipulated and their interactive
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Zhou, Hao, Ji Hua Gu, and Da Qing Chen. "Multi-Plane 3-D Holographic Image Fusion in DCT Domain." Advanced Materials Research 760-762 (September 2013): 572–76. http://dx.doi.org/10.4028/www.scientific.net/amr.760-762.572.

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An improved multi-plane imaging fusion algorithm for 3-D digital holography is presented. Multiple reconstructed images at different distances from single off-axis Fresnel digital hologram are fused using discrete cosine transform (DCT) with different blocks. The zero order term is removed using a Laplacian operator while the conjugate image and dispersed images of defocused objects are eliminated by selecting a simple rectangular window before image fusion. Compared with those fused images obtained directly from the reconstructed images, the fused images qualities are greatly improved and all
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Carrington, W. A., F. S. Fay, K. E. Fogarty, and L. Lifshitz. "Analysis of 3-d molecular distribution with the digital imaging microscope." Proceedings, annual meeting, Electron Microscopy Society of America 46 (1988): 40–41. http://dx.doi.org/10.1017/s0424820100102286.

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Advances in digital imaging microscopy and in the synthesis of fluorescent dyes allow the determination of 3D distribution of specific proteins, ions, GNA or DNA in single living cells. Effective use of this technology requires a combination of optical and computer hardware and software for image restoration, feature extraction and computer graphics.The digital imaging microscope consists of a conventional epifluorescence microscope with computer controlled focus, excitation and emission wavelength and duration of excitation. Images are recorded with a cooled (-80°C) CCD. 3D images are obtaine
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Sanivarapu, Prasanth Vaidya, Kandala N. V. P. S. Rajesh, Khalid M. Hosny, and Mostafa M. Fouda. "Digital Watermarking System for Copyright Protection and Authentication of Images Using Cryptographic Techniques." Applied Sciences 12, no. 17 (2022): 8724. http://dx.doi.org/10.3390/app12178724.

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Digital images are transferred with ease through the network. Many users are using the images without the knowledge of the owners. Therefore, a novel watermarking scheme is proposed to ensure copyright protection and authentication of images using cryptography techniques. Here, a quick response (QR) image is generated for a watermark image that contains public and private keys prepared using a cryptosystem. Later, this QR image is scrambled using a chaotic logistic map. The public and private keys are used to cipher and decipher the data. Next, the scrambled QR watermark is embedded into a col
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Cover, Keith S., Frank J. Lagerwaard, René van den Berg, Dennis R. Buis, and Ben J. Slotman. "COLOR INTENSITY PROJECTION OF DIGITALLY SUBTRACTED ANGIOGRAPHY FOR THE VISUALIZATION OF BRAIN ARTERIOVENOUS MALFORMATIONS." Neurosurgery 60, no. 3 (2007): 511–15. http://dx.doi.org/10.1227/01.neu.0000255331.49791.b4.

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Abstract OBJECTIVE Reliable and rapid delineation of arteriovenous malformations enables the application of effective treatments such as stereotactic radiosurgery. We describe a new method to improve the speed and reliability of visualizing the flow of contrast images with digital subtraction angiography. METHODS In line with current practices, digital subtraction angiography was used to produce a sequence of grayscale images. The new method combines the standard grayscale images produced by digital subtraction angiography into a single composite color image that encodes the contrast arrival t
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Laferty, Donald R. "Digital Composite Imaging for High Resolution Specimen Analysis." Microscopy Today 2, no. 9 (1994): 7. http://dx.doi.org/10.1017/s1551929500067614.

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Recent advances in digital image processing hardware providing very high pixel resolutions can be exploited to solve problems in correlating high magnification feature analysis with specimen macrostructure. In neuroscience, for instance, analyses such as neuron counting which are performed at high magnification often need to be correlated with the overall structure of the specimen. Typically these procedures involve tediously moving between very low and very high power objectives. Once at high power, the positional knowledge of the objects of interest can be difficult to maintain.By integratin
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