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Titlebook: Computational Color Imaging; 6th International Wo Simone Bianco,Raimondo Schettini,Shoji Tominaga Conference proceedings 2017 Springer Natu

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书目名称Computational Color Imaging
副标题6th International Wo
编辑Simone Bianco,Raimondo Schettini,Shoji Tominaga
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Computational Color Imaging; 6th International Wo Simone Bianco,Raimondo Schettini,Shoji Tominaga Conference proceedings 2017 Springer Natu
描述This book constitutes the refereed proceedings of the 6th Computational Color Imaging Workshop, CCIW 2017, held in Milano, Italy, in March 2017.. The 23 full papers, including 4 tutorials and 3 invited papers, accepted were carefully reviewed and selected from 25 submissions. The papers are organized in topical sections on color image processing; color image quality; color in digital cultural heritage; spectral imaging; color characterization; color image analysis..
出版日期Conference proceedings 2017
关键词analytical imaging; computer vision; digital signal processing; human-centered computing; visualization;
版次1
doihttps://doi.org/10.1007/978-3-319-56010-6
isbn_softcover978-3-319-56009-0
isbn_ebook978-3-319-56010-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2017
The information of publication is updating

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Computational Print Controlotographs and the first mechanical color reproduction at the end of the nineteenth century. Ten years ago, we then made the fundamental discovery of a new print control domain, where instead of choices about colorant amounts that are akin to the effect of color filters used since the beginning of co
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T-Rex: A Milano Retinex Implementation Based on Intensity Thresholdingf the Retinex family, T-Rex takes as input a color image and processes its channels separately. For each channel, T-Rex re-scales the chromatic intensity of each pixel . by the average of a set of pixels whose intensity, weighted by a function of the distance from ., exceeds the intensity of .. The
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iFAS: Image Fidelity Assessmentmeasures which can be applied on a single pair of images and/or in a full database, as well as intuitive visualizations that aid data analysis, e.g., images and histograms of pixel-wise image differences, scatter plots and correlation analysis. The software is freely available for non-commercial use
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