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Journal articles on the topic 'Light field images'

Author: Grafiati

Published: 12 October 2024

Last updated: 31 July 2025

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1

Garces, Elena, Jose I. Echevarria, Wen Zhang, Hongzhi Wu, Kun Zhou, and Diego Gutierrez. "Intrinsic Light Field Images." Computer Graphics Forum 36, no. 8 (2017): 589–99. http://dx.doi.org/10.1111/cgf.13154.

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2

Lee, Seung-Jae, and In Kyu Park. "Dictionary Learning based Superresolution on 4D Light Field Images." Journal of Broadcast Engineering 20, no. 5 (2015): 676–86. http://dx.doi.org/10.5909/jbe.2015.20.5.676.

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3

Yan, Tao, Yuyang Ding, Fan Zhang, et al. "Snow Removal From Light Field Images." IEEE Access 7 (2019): 164203–15. http://dx.doi.org/10.1109/access.2019.2951917.

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4

Yu, Li, Yunpeng Ma, Song Hong, and Ke Chen. "Reivew of Light Field Image Super-Resolution." Electronics 11, no. 12 (2022): 1904. http://dx.doi.org/10.3390/electronics11121904.

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Currently, light fields play important roles in industry, including in 3D mapping, virtual reality and other fields. However, as a kind of high-latitude data, light field images are difficult to acquire and store. Thus, the study of light field super-resolution is of great importance. Compared with traditional 2D planar images, 4D light field images contain information from different angles in the scene, and thus the super-resolution of light field images needs to be performed not only in the spatial domain but also in the angular domain. In the early days of light field super-resolution resea

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5

Kobayashi, Kenkichi, and Hideo Saito. "High-Resolution Image Synthesis from Video Sequence by Light Field." Journal of Robotics and Mechatronics 15, no. 3 (2003): 254–62. http://dx.doi.org/10.20965/jrm.2003.p0254.

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We propose a novel method to synthesize high-resolution images from image sequences taken with a moving video camera. Each frame in the image sequence is a part of the photographed object. Our method integrates these frames to generate high-resolution images of object by constructing a light field, which is quite different from general mosaic methods. In light fields constructed straightforwardly, blur and discontinuity are introduced into synthesized images by depth variation of the object. In our method, the light field is optimized to remove blur and discontinuity so clear images can be syn

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Shi, Shizhou, Chaoqun Ma, Jing Liu, Changpei Ma, Feng Zhang, and Xiaoyu Jiang. "Single-View Encoding of 3D Light Field Based on Editable Field of View Gaussian Splatting." Photonics 12, no. 3 (2025): 279. https://doi.org/10.3390/photonics12030279.

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The paper presents an efficient light field image synthesis method based on single-viewpoint images, which can directly generate high-quality light field images from single-viewpoint input images. The proposed method integrates light field image encoding with the tiled rendering technique of 3DGS. In the construction of the rendering pipeline, a viewpoint constraint strategy is adopted to optimize rendering quality, and a sub-pixel rendering strategy is implemented to improve rendering efficiency. Experimental results demonstrate that 8K light field images with 96 viewpoints can be generated i

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KOMATSU, Koji, Kohei ISECHI, Keita TAKAHASHI, and Toshiaki FUJII. "Light Field Coding Using Weighted Binary Images." IEICE Transactions on Information and Systems E102.D, no. 11 (2019): 2110–19. http://dx.doi.org/10.1587/transinf.2019pcp0001.

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Sun Junyang, 孙俊阳, 孙. 俊. Sun Jun, 许传龙 Xu Chuanlong, 张. 彪. Zhang Biao, and 王式民 Wang Shimin. "A Calibration Method of Focused Light Field Cameras Based on Light Field Images." Acta Optica Sinica 37, no. 5 (2017): 0515002. http://dx.doi.org/10.3788/aos201737.0515002.

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Yamauchi, Masaki, and Tomohiro Yendo. "Light field display using wavelength division multiplexing." Electronic Imaging 2020, no. 2 (2020): 101–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.2.sda-101.

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We propose a large screen 3D display which enables multiple viewers to see simultaneously without special glasses. In prior researches, methods of using a projector array or a swinging screen were proposed. However, the former has difficulty in installing and adjusting a large number of projectors and the latter cases occurrence of vibration and noise because of the mechanical motion of the screen. Our proposed display consists of a wavelength modulation projector and a spectroscopic screen. The screen shows images of which color depends on viewing points. The projector projects binary images

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10

Salem, Ahmed, Hatem Ibrahem, and Hyun-Soo Kang. "Light Field Reconstruction Using Residual Networks on Raw Images." Sensors 22, no. 5 (2022): 1956. http://dx.doi.org/10.3390/s22051956.

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Although Light-Field (LF) technology attracts attention due to its large number of applications, especially with the introduction of consumer LF cameras and its frequent use, reconstructing densely sampled LF images represents a great challenge to the use and development of LF technology. Our paper proposes a learning-based method to reconstruct densely sampled LF images from a sparse set of input images. We trained our model with raw LF images rather than using multiple images of the same scene. Raw LF can represent the two-dimensional array of images captured in a single image. Therefore, it

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KONDO, Shu, Yuto KOBAYASHI, Keita TAKAHASHI, and Toshiaki FUJII. "Physically-Correct Light-Field Factorization for Perspective Images." IEICE Transactions on Information and Systems E100.D, no. 9 (2017): 2052–55. http://dx.doi.org/10.1587/transinf.2016pcl0006.

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12

Paudyal, Pradip, Federica Battisti, and Marco Carli. "Reduced Reference Quality Assessment of Light Field Images." IEEE Transactions on Broadcasting 65, no. 1 (2019): 152–65. http://dx.doi.org/10.1109/tbc.2019.2892092.

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13

Sieberth, T., R. Wackrow, V. Hofer, and V. Barrera. "LIGHT FIELD CAMERA AS TOOL FOR FORENSIC PHOTOGRAMMETRY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 393–99. http://dx.doi.org/10.5194/isprs-archives-xlii-1-393-2018.

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<p><strong>Abstract.</strong> Light field cameras record both the light intensity received by the sensor and the direction in which the light rays are travelling through space. Recording the additional information of the direction of Light rays provides the opportunity to refocus an image after acquisition. Furthermore, a depth image can be created, providing 3D information for each image pixel. Both, focused images and 3D information are relevant for forensic investigations. Basic overview images are often acquired by photographic novices and under difficult conditions, whic

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14

Fachada, Sarah, Daniele Bonatto, Mehrdad Teratani, and Gauthier Lafruit. "Light Field Rendering for non-Lambertian Objects." Electronic Imaging 2021, no. 2 (2021): 54–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.2.sda-054.

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In this paper we propose a solution for view synthesis of scenes presenting highly non-Lambertian objects. While Image- Based Rendering methods can easily render diffuse materials given only their depth, non-Lambertian objects present non-linear displacements of their features, characterized by curved lines in epipolar plane images. Hence, we propose to replace the depth maps used for rendering new viewpoints by a more complex “non- Lambertian map” describing the light field?s behavior. In a 4D light field, diffuse features are linearly displaced following their disparity, but non-Lambertian f

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15

Fukano, Koichiro, Takaaki Kudo, Toshiki Yura, and Yasuhiro Takaki. "Resolution Improvement in Near-Virtual-Image-Mode Light-Field Display Using Resolution-Priority Technique." Applied Sciences 14, no. 21 (2024): 9962. http://dx.doi.org/10.3390/app14219962.

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A light-field display with a near-virtual-image mode, which employs both a lens array and an aperture array, was previously proposed to provide a wide viewing zone angle and bright three-dimensional (3D) images. However, it is desirable to enhance its resolutions, which are presently equal to those of conventional displays. Thus, we proposed a technique for increasing the resolutions of 3D images generated by the light-field display with the near-virtual-image mode. The gap between the flat-panel display and lens array is reduced to decrease the magnification of the virtual images of the pixel

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16

Du, Yifan, Wei Lang, Xinwen Hu, et al. "Quality Assessment of Light Field Images Based on Adaptive Attention in ViT." Electronics 13, no. 15 (2024): 2985. http://dx.doi.org/10.3390/electronics13152985.

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Light field images can record multiple information about the light rays in a scene and provide multiple views from a single image, offering a new data source for 3D reconstruction. However, ensuring the quality of light field images themselves is challenging, and distorted image inputs may lead to poor reconstruction results. Accurate light field image quality assessment can pre-judge the quality of light field images used as input for 3D reconstruction, providing a reference for the reconstruction results before the reconstruction work, significantly improving the efficiency of 3D reconstruct

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17

Oucherif, Sabrine Djedjiga, Mohamad Motasem Nawaf, Jean-Marc Boï, et al. "Enhancing Facial Expression Recognition through Light Field Cameras." Sensors 24, no. 17 (2024): 5724. http://dx.doi.org/10.3390/s24175724.

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In this paper, we study facial expression recognition (FER) using three modalities obtained from a light field camera: sub-aperture (SA), depth map, and all-in-focus (AiF) images. Our objective is to construct a more comprehensive and effective FER system by investigating multimodal fusion strategies. For this purpose, we employ EfficientNetV2-S, pre-trained on AffectNet, as our primary convolutional neural network. This model, combined with a BiGRU, is used to process SA images. We evaluate various fusion techniques at both decision and feature levels to assess their effectiveness in enhancin

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18

Li, Xiaowei, Zhiqing Ren, Tianhao Wang, and Huan Deng. "Ownership protection for light-field 3D images: HDCT watermarking." Optics Express 29, no. 26 (2021): 43256. http://dx.doi.org/10.1364/oe.446397.

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19

Navarro, Julia, and Antoni Buades. "Robust and Dense Depth Estimation for Light Field Images." IEEE Transactions on Image Processing 26, no. 4 (2017): 1873–86. http://dx.doi.org/10.1109/tip.2017.2666041.

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20

Schiopu, I., and A. Munteanu. "Deep‐learning‐based depth estimation from light field images." Electronics Letters 55, no. 20 (2019): 1086–88. http://dx.doi.org/10.1049/el.2019.2073.

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21

YANG, Shang-peng, Cheng-cai XU, Yi-fan JIE, Guang-quan ZHOU, and Ping ZHOU. "Distortionless condition for microlens images in light field imaging." Chinese Journal of Liquid Crystals and Displays 38, no. 6 (2023): 829–34. http://dx.doi.org/10.37188/cjlcd.2023-0021.

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22

Jin, Jing, Junhui Hou, Hui Yuan, and Sam Kwong. "Learning Light Field Angular Super-Resolution via a Geometry-Aware Network." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 07 (2020): 11141–48. http://dx.doi.org/10.1609/aaai.v34i07.6771.

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The acquisition of light field images with high angular resolution is costly. Although many methods have been proposed to improve the angular resolution of a sparsely-sampled light field, they always focus on the light field with a small baseline, which is captured by a consumer light field camera. By making full use of the intrinsic geometry information of light fields, in this paper we propose an end-to-end learning-based approach aiming at angularly super-resolving a sparsely-sampled light field with a large baseline. Our model consists of two learnable modules and a physically-based module

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23

Meng, Qingyu, Haiyang Yu, Xiaoyu Jiang, and Xinzhu Sang. "A Sparse Capture Light-Field Coding Algorithm Based on Target Pixel Matching for a Multi-Projector-Type Light-Field Display System." Photonics 10, no. 2 (2023): 223. http://dx.doi.org/10.3390/photonics10020223.

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The traditional light-field coding algorithm used in a multi-projector-type light-field display system requires sophisticated and complex three-dimensional modeling processes or parallax images obtained through dense capture. Here we propose an algorithm based on target pixel matching, which directly uses parallax images without a complex modeling process, and can achieve a more accurate light-field reconstruction effect under sparse capture conditions. For the lack of capture information caused by sparse capture, this algorithm compares the pixel similarity of the captured images of the same

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24

Yang, Zongyuan, Baolin Liu, Yingde Song, et al. "DirectL: Efficient Radiance Fields Rendering for 3D Light Field Displays." ACM Transactions on Graphics 43, no. 6 (2024): 1–19. http://dx.doi.org/10.1145/3687897.

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Autostereoscopic display technology, despite decades of development, has not achieved extensive application, primarily due to the daunting challenge of three-dimensional (3D) content creation for non-specialists. The emergence of Radiance Field as an innovative 3D representation has markedly revolutionized the domains of 3D reconstruction and generation, simplifying 3D content creation for common users and broadening the applicability of Light Field Displays (LFDs). However, the combination of these two technologies remains largely unexplored. The standard paradigm to create optimal content fo

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25

Sharma, Rishabh, Stuart Perry, and Eva Cheng. "Noise-Resilient Depth Estimation for Light Field Images Using Focal Stack and FFT Analysis." Sensors 22, no. 5 (2022): 1993. http://dx.doi.org/10.3390/s22051993.

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Depth estimation for light field images is essential for applications such as light field image compression, reconstructing perspective views and 3D reconstruction. Previous depth map estimation approaches do not capture sharp transitions around object boundaries due to occlusions, making many of the current approaches unreliable at depth discontinuities. This is especially the case for light field images because the pixels do not exhibit photo-consistency in the presence of occlusions. In this paper, we propose an algorithm to estimate the depth map for light field images using depth from def

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26

Liu, Yi-Jian, Xue-Rui Wen, Wei-Ze Li, Yan Xing, Han-Le Zhang, and Qiong-Hua Wang. "P‐123: Analysis of Light Shaping Diffuser in Integral Imaging Based Light Field Display." SID Symposium Digest of Technical Papers 55, no. 1 (2024): 1866–69. http://dx.doi.org/10.1002/sdtp.17948.

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Light shaping diffuser (LSD) is a crucial component in integral imaging based light field display for achieving continuous 3D images. However, LSD also constrains the display resolution in wide viewing angles. To addressing this issue, this study conducts thorough analyses. The light homogenization characteristics of LSD are proposed, complementing the understanding of LSD's mechanism for achieving continuous 3D images. Furthermore, the scattering function of LSD is established for the first time, explaining the mechanism behind LSD constraining resolution in wide viewing angles. The proposed

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Liu, Jinghuai, Qian Zhang, Ang Shen, et al. "A Novel Light Field Image Compression Method Using EPI Restoration Neural Network." BioMed Research International 2022 (June 13, 2022): 1–8. http://dx.doi.org/10.1155/2022/8324438.

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Different from traditional images, light field images record not only spatial information but also angle information. Due to the large volume of light field data brings great difficulties to storage and compression, light field compression technology has attracted much attention. The epipolar plane image (EPI) contains a lot of low rank information, which is suitable for recovering the complete EPI from a part of EPI. In this paper, a light field image coding framework based on EPI restoration neural network has been proposed. Compared with previous algorithms, the proposed algorithm further t

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Bhullar, A., R. A. Ali, and D. L. Welch. "A package for the automated classification of images containing supernova light echoes." Astronomy & Astrophysics 655 (November 2021): A82. http://dx.doi.org/10.1051/0004-6361/202039755.

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Context. The so-called light echoes of supernovae – the apparent motion of outburst-illuminated interstellar dust – can be detected in astronomical difference images; however, light echoes are extremely rare which makes manual detection an arduous task. Surveys for centuries-old supernova light echoes can involve hundreds of pointings of wide-field imagers wherein the subimages from each CCD amplifier require examination. Aims. We introduce ALED, a Python package that implements (i) a capsule network trained to automatically identify images with a high probability of containing at least one su

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Mun, Ji-Hun, and Yo-Sung Ho. "Depth from stacked light field images using generative adversarial network." Electronic Imaging 2019, no. 11 (2019): 270–1. http://dx.doi.org/10.2352/issn.2470-1173.2019.11.ipas-270.

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30

Cho, Donghyeon, Sunyeong Kim, Yu-Wing Tai, and In So Kweon. "Automatic Trimap Generation and Consistent Matting for Light-Field Images." IEEE Transactions on Pattern Analysis and Machine Intelligence 39, no. 8 (2017): 1504–17. http://dx.doi.org/10.1109/tpami.2016.2606397.

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31

Ai, Wei, Sen Xiang, and Li Yu. "Robust depth estimation for multi-occlusion in light-field images." Optics Express 27, no. 17 (2019): 24793. http://dx.doi.org/10.1364/oe.27.024793.

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32

Paudyal, Pradip, Federica Battisti, Marten Sjostrom, Roger Olsson, and Marco Carli. "Towards the Perceptual Quality Evaluation of Compressed Light Field Images." IEEE Transactions on Broadcasting 63, no. 3 (2017): 507–22. http://dx.doi.org/10.1109/tbc.2017.2704430.

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33

Williem, Ki Won Shon, and In Kyu Park. "Spatio-angular consistent editing framework for 4D light field images." Multimedia Tools and Applications 75, no. 23 (2016): 16615–31. http://dx.doi.org/10.1007/s11042-016-3754-y.

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34

Palmieri, Luca, Gabriele Scrofani, Nicolò Incardona, Genaro Saavedra, Manuel Martínez-Corral, and Reinhard Koch. "Robust Depth Estimation for Light Field Microscopy." Sensors 19, no. 3 (2019): 500. http://dx.doi.org/10.3390/s19030500.

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Light field technologies have seen a rise in recent years and microscopy is a field where such technology has had a deep impact. The possibility to provide spatial and angular information at the same time and in a single shot brings several advantages and allows for new applications. A common goal in these applications is the calculation of a depth map to reconstruct the three-dimensional geometry of the scene. Many approaches are applicable, but most of them cannot achieve high accuracy because of the nature of such images: biological samples are usually poor in features and do not exhibit sh

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35

Momonoi, Yoshiharu, Koya Yamamoto, Yoshihiro Yokote, Atsushi Sato, and Yasuhiro Takaki. "Systematic Approach for Alignment of Light Field Mirage." Applied Sciences 12, no. 23 (2022): 12413. http://dx.doi.org/10.3390/app122312413.

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We previously proposed techniques to eliminate repeated three-dimensional (3D) images produced by the light field Mirage, which consists of circularly aligned multiple-slanted light field displays. However, we only constructed the lower half of the system to verify the proposed elimination techniques. In this study, we developed an alignment technique for a complete 360-degree display system. The alignment techniques for conventional 360-degree display systems, which use a large number of projectors, greatly depend on electronic calibration, which indispensably causes image quality degradation

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36

Shi, Shengxian, Linlin Sun, Yinsen Luan, Rui Wang, and T. H. New. "Design and evaluation of a light-field multi-wavelength pyrometer." Review of Scientific Instruments 93, no. 11 (2022): 114901. http://dx.doi.org/10.1063/5.0119009.

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This letter describes the design and implementation of a multi-wavelength light-field pyrometer, where six-channel radiation images were captured with one CMOS sensor. Such capability is achieved by placing a 2 × 3 filter array in front of the main lens of an unfocused light-field camera, such that discrete wavelength and radiation intensity can be simultaneously recorded. It demonstrates that through black-body furnace experiments, how multi-channel radiation images can be extracted from one raw light-field multispectral image, and how accurate 2D temperature distribution can be recovered by

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Shen, Yu, Yuhang Liu, Yonglin Tian, Zhongmin Liu, and Feiyue Wang. "A New Parallel Intelligence Based Light Field Dataset for Depth Refinement and Scene Flow Estimation." Sensors 22, no. 23 (2022): 9483. http://dx.doi.org/10.3390/s22239483.

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Computer vision tasks, such as motion estimation, depth estimation, object detection, etc., are better suited to light field images with more structural information than traditional 2D monocular images. However, since costly data acquisition instruments are difficult to calibrate, it is always hard to obtain real-world scene light field images. The majority of the datasets for static light field images now available are modest in size and cannot be used in methods such as transformer to fully leverage local and global correlations. Additionally, studies on dynamic situations, such as object tr

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38

Pradip, Paudyal, Battisti Federica, Le Callet Patrick, Gutiérrez Jesús, and Carli Marco. "Perceptual Quality of Light Field Images and Impact of Visualization Techniques." IEEE Transactions on Broadcasting 67, no. 2 (2021): 395–408. https://doi.org/10.1109/TBC.2020.3034445.

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Light Field imaging provides a wide range of interactive features, such as view point changing and refocusing, and it has been developing as a solution for six degree of freedom applications. Many ongoing efforts, specifically related to pre/post processing, compression, and rendering, have been devoted to the development of this technology. To benchmark processing algorithms, the knowledge of degraded or improved quality level is important. However, the definition of validated subjective and objective quality assessment methods is still an open and challenging issue. In this scenario, this co

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Schambach, Maximilian, and Fernando Puente León. "Reconstruction of multispectral images from spectrally coded light fields of flat scenes." tm - Technisches Messen 86, no. 12 (2019): 758–64. http://dx.doi.org/10.1515/teme-2019-0103.

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AbstractWe present a novel method to reconstruct multispectral images of flat objects from spectrally coded light fields as taken by an unfocused light field camera with a spectrally coded microlens array. In this sense, the spectrally coded light field camera is used as a multispectral snapshot imager, acquiring a multispectral datacube in a single exposure. The multispectral image, corresponding to the light field’s central view, is reconstructed by shifting the spectrally coded subapertures onto the central view according to their respective disparity. We assume that the disparity of the sc

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Kim, Hyun Myung, Young Jin Yoo, Jeong Min Lee, and Young Min Song. "A Wide Field-of-View Light-Field Camera with Adjustable Multiplicity for Practical Applications." Sensors 22, no. 9 (2022): 3455. http://dx.doi.org/10.3390/s22093455.

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The long-fascinated idea of creating 3D images that depict depth information along with color and brightness has been realized with the advent of a light-field camera (LFC). Recently advanced LFCs mainly utilize micro-lens arrays (MLAs) as a key component to acquire rich 3D information, including depth, encoded color, reflectivity, refraction, occlusion, and transparency. The wide field-of-view (FOV) capability of LFCs, which is expected to be of great benefit for extended applications, is obstructed by the fundamental limitations of LFCs. Here, we present a practical strategy for the wide FOV

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Sijbrandij, S. J., K. F. Russell, R. C. Thomson, and M. K. Miller. "Digital Field Ion Microscopy." Microscopy and Microanalysis 4, S2 (1998): 88–89. http://dx.doi.org/10.1017/s1431927600020560.

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Due to environmental concerns, there is a trend to avoid the use of chemicals needed to develop negatives and to process photographic paper, and to use digital technologies instead. Digital technology also offers the advantages that it is convenient, as it enables quick access to the endresult, allows image storage and processing on computer, allows rapid hard copy output, and simplifies electronic publishing. Recently significant improvements have been made to the performance and cost of camera-sensors and printers. In this paper, field ion images recorded with two digital cameras of differen

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Wang, Qian, Li Fang, Long Ye, Wei Zhong, Fei Hu, and Qin Zhang. "Flexible Light Field Angular Superresolution via a Deep Coarse-to-Fine Framework." Wireless Communications and Mobile Computing 2022 (March 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/4570755.

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Acquisition of densely-sampled light fields (LFs) is challenging. In this paper, we develop a coarse-to-fine light field angular superresolution that reconstructs densely-sampled LFs from sparsely-sampled ones. Unlike most of other methods, which are limited by the regularity of sampling patterns, our method can flexibly deal with different scale factors with one model. Specifically, a coarse restoration on epipolar plane images (EPIs) with arbitrary angular resolution is performed and then a refinement with 3D convolutional neural networks (CNNs) on stacked EPIs. The subaperture images in LFs

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43

Hansen, C. J., M. A. Ravine, P. M. Schenk, et al. "Juno’s JunoCam Images of Europa." Planetary Science Journal 5, no. 3 (2024): 76. http://dx.doi.org/10.3847/psj/ad24f4.

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Abstract On 2022 September 29 the Juno spacecraft passed Europa at 355 km, the first close pass since the Galileo flyby in 2000. Juno’s visible-light imager, JunoCam, collected four images, enabling cartographic, topographic, and surface geology analysis. The topography along the terminator is consistent with previously reported features that may indicate true polar wander. A bright band was discovered, and indicates global symmetry in the stress field that forms bright bands on Europa. The named feature Gwern is shown not to be an impact crater. Surface change detection shows no changes in 22

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Viganò, Nicola, Felix Lucka, Ombeline de La Rochefoucauld, et al. "Emulation of X-ray Light-Field Cameras." Journal of Imaging 6, no. 12 (2020): 138. http://dx.doi.org/10.3390/jimaging6120138.

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X-ray plenoptic cameras acquire multi-view X-ray transmission images in a single exposure (light-field). Their development is challenging: designs have appeared only recently, and they are still affected by important limitations. Concurrently, the lack of available real X-ray light-field data hinders dedicated algorithmic development. Here, we present a physical emulation setup for rapidly exploring the parameter space of both existing and conceptual camera designs. This will assist and accelerate the design of X-ray plenoptic imaging solutions, and provide a tool for generating unlimited real

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Roysam, B., A. Can, H. Shen, K. Al-Kofahi, and J. N. Turner. "From 3-D Light Microscopic Images to Quantitative Insight." Microscopy and Microanalysis 5, S2 (1999): 524–25. http://dx.doi.org/10.1017/s1431927600015944.

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This presentation will describe a common core set of widely applicable image analysis techniques for automated quantitative analysis of volumetric microscope image data. Volumetric (as distinct from stereoscopic) three-dimensional (3-D) Microscopy is a rapidly maturing field offering the ability to image thick (compared to the depth of field) specimens using a variety of instrumentation techniques, and producing arrays of brightness values in three spatial dimensions. Also well developed are methods to correct the acquired images for a variety of physical effects including blur and attenuation

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Li, Lifen, Zhengqin Yu, and Ronghua Zhang. "A Reflective Object Reconstruction Method Based on Neural Radiance Field." Academic Journal of Science and Technology 10, no. 2 (2024): 201–6. http://dx.doi.org/10.54097/3nzpbc54.

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We propose a neural rendering-based 3D reconstruction method for reconstructing the geometry and BRDF of reflective objects from multi-view images captured in unknown environments. Multi-view reconstruction of reflective objects is extremely challenging because specular reflections are view-dependent and therefore violate multi-view consistency, which is the cornerstone of most multi-view reconstruction methods. Recent neural rendering techniques can model the interaction between ambient light and object surfaces to adapt to view-dependent reflections, making it possible to reconstruct reflect

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Tufaile, Alberto, Michael Snyder, and Adriana Pedrosa Biscaia Tufaile. "Horocycles of Light in a Ferrocell." Condensed Matter 6, no. 3 (2021): 30. http://dx.doi.org/10.3390/condmat6030030.

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We studied the effects of image formation in a device known as Ferrocell, which consists of a thin film of a ferrofluid solution between two glass plates subjected to an external magnetic field in the presence of a light source. Following suggestions found in the literature, we compared the Ferrocell light scattering for some magnetic field configurations with the conical scattering of light by thin structures found in foams known as Plateau borders, and we discuss this type of scattering with the concept of diffracted rays from the Geometrical Theory of Diffraction. For certain magnetic field

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Prof. Sathish. "Light Field Image Coding with Image Prediction in Redundancy." Journal of Soft Computing Paradigm 2, no. 3 (2020): 160–67. http://dx.doi.org/10.36548/jscp.2020.3.003.

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The proposed work involves a hybrid data representation using efficient light field coding. The existing light field coding solution are implemented using sub-aperture or micro-images. However, the full capacity in terms of intrinsic redundancy in light field images is not completely explored. This paper represents a hybrid data representation which explores four major redundancy types. Using coding block, the most predominant redundancy is exploited to find the optimum coding solution that provides maximum flexibility. To show how efficient the hybrid representation works, we have proposed a

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Ma, Haoxin, Zhiwen Qian, Tingting Mu, and Shengxian Shi. "Fast and Accurate 3D Measurement Based on Light-Field Camera and Deep Learning." Sensors 19, no. 20 (2019): 4399. http://dx.doi.org/10.3390/s19204399.

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The precise combination of image sensor and micro-lens array enables light-field cameras to record both angular and spatial information of incoming light, therefore, one can calculate disparity and depth from one single light-field image captured by one single light-field camera. In turn, 3D models of the recorded objects can be recovered, which means a 3D measurement system can be built using a light-field camera. However, reflective and texture-less areas in light-field images have complicated conditions, making it hard to correctly calculate disparity with existing algorithms. To tackle thi

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Duan, Fuzhou, Yanyan Wu, Hongliang Guan, and Chenbo Wu. "Saliency Detection of Light Field Images by Fusing Focus Degree and GrabCut." Sensors 22, no. 19 (2022): 7411. http://dx.doi.org/10.3390/s22197411.

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In the light field image saliency detection task, redundant cues are introduced due to computational methods. Inevitably, it leads to the inaccurate boundary segmentation of detection results and the problem of the chain block effect. To tackle this issue, we propose a method for salient object detection (SOD) in light field images that fuses focus and GrabCut. The method improves the light field focus calculation based on the spatial domain by performing secondary blurring processing on the focus image and effectively suppresses the focus information of out-of-focus areas in different focus i

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