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color correction for Multi-view Video Using Energy Minimization of View Networks

维普期刊数据库评论

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International Journal of Automation and computing 2008年第3期5卷 234-245页

作者： Kenji Yamamoto Ryutaro Oi National Institute of Information and Communications Technology

Systems using numerous cameras are emerging in many fields due to their ease of production and reduced cost, and one of the fields where they are expected to be used more actively in the near future is in image-based rendering （IBR）. color correction between views is necessary to use multi-view systems in IBR to make audiences feel comfortable when views are switched or when a free viewpoint video is displayed. color correction usually involves two steps： the first is to adjust camera parameters such as gain, brightness, and aperture before capture, and the second is to modify captured videos through image processing. This paper deals with the latter, which does not need a color pattern board. The proposed method uses scale invariant feature transform （SIFT） to detect correspondences, treats RGB channels independently, calculates lookup tables with an energy-minimization approach, and corrects captured video with these tables. The experimental results reveal that this approach works well.

关键词： Multi-view color correction image-based rendering (IBR) view networks (VNs) scale invariant feature transform (SIFT) energy minimization.

Multi-view video color correction using dynamic programming

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Journal of Systems Engineering and Electronics 2008年第6期19卷 1115-1120页

作者： Shao Feng Jiang Gangyi Yu Mei Faculty of Information Science and Engineering Ningbo Univ. Ningbo 315211 P. R. China National Key Lab of Software New Technology Nanjing Univ. Nanjing 210093 P. R. China

color inconsistency between views is an important problem to be solved in multi-view video systems. A multi-view video color correction method using dynamic programming is proposed. Three-dimensional histograms are constructed with sequential conditional probability in HSI color space. Then, dynamic programming is used to seek the best color mapping relation with the minimum cost path between target image histogram and source image histogram. Finally, video tracking technique is performed to correct multi-view video. Experimental results show that the proposed method can obtain better subjective and objective performance in color correction.

关键词： multi-view video color correction dynamic programming video tracking

New auto color correction algorithm for microscopic imaging system

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High Technology Letters 2015年第3期21卷 282-288页

作者：蒋刚毅 Liu Xiangjun Yu Mei Peng Zongju Shao Feng School of Information Science and Engineering Ningbo University National Key Lab of Software New Technology Nanjing University

trast （HC） method is proposed to define saliency value of each pixel, then auto Grabcut segmenta- tion method is used to segment the salient region so as to obtain a region of interest （ROI）. After that, normalized histograms and cumulative histograms for ROI and region of background （ROB） are calculated. The mapping functions of the corresponding regions are derived from reference image to distorted image through the nearest cumulative histogram matching method, so that color correction can be finally achieved. Experimental results show that benefitting from the separate treatment to ROI and ROB, the proposed color correction method could avoid error propagation between the two different regions, which achieves good color correction result in comparison with other correction methods.

关键词： stereo microscope color correction region of interest(ROI) Grabcut segmentation

CODING-ORIENTED MULTI-VIEW VIDEO color correction

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Journal of Electronics(China) 2008年第6期25卷 721-727页

作者： Shao Feng Jiang Gangyi Yu Mei Chen Xiexiong Faculty of Information Science and Engineering Ningbo University Ningbo 315211 China National Key Lab of Software New Technology Nanjing University Nanjing 210093 China Department of Information and Electronics Engineering Zhejiang University Hangzhou 310027 China

color inconsistency between views is an important problem to be solved in multi-view video applications, such as free viewpoint television and other three-dimensional video systems. In this paper, by combining with multi-view video coding, a coding-oriented multi-view video color correction method is proposed. We first separate foreground and background in first Group Of Pictures （GOP） by using SKIP coding mode. Then by transferring means and standard deviations in backgrounds, color correction is performed for each frame in GOP, and multi-view video coding is performed and used to renew the backgrounds. Experimental results ances in color correction and multi-view video show the proposed method can obtain better performcoding.

关键词： Multi-view video color correction Multi-view video coding Background

A Novel color correction Framework For Facial Images

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A Novel Color Correction Framework For Facial Images

A Survey on Multiview Video Synthesis and Editing

中国中西医结合学会第八届全国诊断学术会议

作者： Jin-Ling Niu Chang-Bo Zhao Guo-Zheng Li Department of Control Science Tongji University

The color images produced by digital cameras are usually not in conformity with their inherent *** will seriously impact computer-aided facial image analysis because it is on the basis of accurate rendering of color *** solve that,we propose a novel color correction ***,we utilize 122 undistorted facial images to demarcate complexion gamut Secondly,several training sets based on complexion gamut are compared experimentally for the selection of optimal training ***,we select an adaptive target device-independent color space for our facial images color correction ***,we evaluate the performance of three most popular color correction algorithms in color science area,and select the most suitable one to build our final regression *** with the previous work,our color correction framework is characterized by mission dependence and statistical ***,its trained model has low complexity and high *** of these features make it effective for facial images color correction.

关键词： color correction complexion gamut facial images regression model

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Tsinghua Science and Technology 2016年第6期21卷 678-695页

作者： Shaoping Lu Taijiang Mu Songhai Zhang the Department of Electronics and Informatics (ETRO) Vrije Universiteit Brussel (VUB) the TNList Tsinghua University

Multiview video can provide more immersive perception than traditional single 2-D video. It enables both interactive free navigation applications as well as high-end autostereoscopic displays on which multiple users can perceive genuine 3-D content without glasses. The multiview format also comprises much more visual information than classical 2-D or stereo 3-D content, which makes it possible to perform various interesting editing operations both on pixel-level and object-level. This survey provides a comprehensive review of existing multiview video synthesis and editing algorithms and applications. For each topic, the related technologies in classical 2-D image and video processing are reviewed. We then continue to the discussion of recent advanced techniques for multiview video virtual view synthesis and various interactive editing applications. Due to the ongoing progress on multiview video synthesis and editing, we can foresee more and more immersive 3-D video applications will appear in the future.

关键词： multiview video view synthesis video editing color correction survey

Saliency-based image correction for colorblind patients

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Computational Visual Media 2020年第2期6卷 169-189页

作者： Jinjiang Li Xiaomei Feng Hui Fan School of Computer Science and Technology Shandong Technology and Business UniversityYantai264005China Co-innovation Center of Shandong Colleges and Universities Future Intelligent ComputingYantai264005China

Improper functioning, or lack, of human cone cells leads to vision defects, making it impossible for affected persons to distinguish certain colors. colorblind persons have color perception, but their ability to capture color information differs from that of normal people: colorblind and normal people perceive the same image differently. It is necessary to devise solutions to help persons with color blindness understand images and distinguish different colors. Most research on this subject is aimed at adjusting insensitive colors,enabling colorblind persons to better capture color information, but ignores the attention paid by colorblind persons to the salient areas of images. The areas of the image seen as salient by normal people generally differ from those seen by the colorblind. To provide the same saliency for colorblind persons and normal people, we propose a saliency-based image correction algorithm for color blindness. Adjusted colors in the adjusted image are harmonious and realistic, and the method is practical. Our experimental results show that this method effectively improves images, enabling the colorblind to see the same salient areas as normal people.

关键词： color vision colorblindness saliency color correction

More Than Lightening:A Self-Supervised Low-Light Image Enhancement Method Capable for Multiple Degradations

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IEEE/CAA Journal of Automatica Sinica 2024年第3期11卷 622-637页

作者： Han Xu Jiayi Ma Yixuan Yuan Hao Zhang Xin Tian Xiaojie Guo the Electronic Information School Wuhan UniversityWuhan 430072China IEEE the Department of Electronic Engineering Chinese University of Hong KongHong Kong 999077China the College of Intelligence and Computing Tianjin UniversityTianjin 300350China

Low-light images suffer from low quality due to poor lighting conditions,noise pollution,and improper settings of *** enhance low-light images,most existing methods rely on normal-light images for guidance but the collection of suitable normal-light images is *** contrast,a self-supervised method breaks free from the reliance on normal-light data,resulting in more convenience and better *** self-supervised methods primarily focus on illumination adjustment and design pixel-based adjustment methods,resulting in remnants of other degradations,uneven brightness and *** response,this paper proposes a self-supervised enhancement method,termed as *** can handle multiple degradations including illumination attenuation,noise pollution,and color shift,all in a self-supervised *** attenuation is estimated based on physical principles and local neighborhood *** removal and correction of noise and color shift removal are solely realized with noisy images and images with color ***,the comprehensive and fully self-supervised approach can achieve better adaptability and *** is applicable to various low light conditions,and can reproduce the original color of scenes in natural *** experiments conducted on four public datasets demonstrate the superiority of SLIE to thirteen state-of-the-art *** code is available at https://***/hanna-xu/SLIE.

关键词： color correction low-light image enhancement self-supervised learning.

Relighting multiple color textures

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2005年第11期6卷 1284-1289页

作者：刁常宇鲁东明刘刚 chool of Computer Science Zhejiang University Conservation Institute Dunhuang Academy

With the development of digital library technology, library books made of paper can be digital released and read, and Endangered Cultural Heritages can be preserved. Traditional library＇s contents and functions can be greatly enhanced by digital technologies. For these new library objects, the primary key problem is precisely reconstructing their 3D models. When constructing complete 3D models, multiple color texture maps are often necessary. A commonly encountered problem uncounted during fusing of textures from multiple color images is color distortion. Each texture of a single 3D model may be obtained under possibly different lighting conditions and color response of the camera. To remove any visible seam and improve color consistency between the textures while avoiding color distortion, we propose a new efficient algorithm to relight all the texture images globally, spread residual light difference, and recolor each image by homogeneous transformation. A relative illumination model was adopted to obtain the relighting function. We choose lαβ color space with minimal correlation between channels for many natural scenes, for calculating the relighting result. Looking into two overlapped images A and B, we can pairwise relight B into A＇s luminosity condition in two steps. We first scale B＇s l channel by the lA/lB ratio of the overlapped region. We can assume A and B are in a same color plane now. Then a homogeneous transformation is applied to B＇s a and fl channels which moves B into A＇s hue and saturation condition. For multiple overlapped color textures, a patch based weighted global relighting method was proposed to minimize the total color difference. The pairwise relighting method was used between each two overlapped images, and the difference in every overlapped region after relighting was weighted and summed up to construct an energy value. We used Nelder-Mead method to find a minimal energy value and the relighting parameters for every image. After global r

关键词： Texture relighting Digitization color correction Texture blending