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Color to gray conversions in the context of stereo matching algorithms
2010
Machine Vision and Applications
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We also propose an ad-hoc adaptation of the most theoretically promising algorithm, which we call Multi-Image Decolorize (MID). ...
The results show that the overall performance of the proposed Multi-Image Decolorize conversion are good and the reported tests provided useful information and insights on how to design color to gray conversion ...
We would like to acknowledge MartinČadík, Daniel Scharstein, Richard Szeliski and Eastman Kodak Company for the images used in the paper and in the tests. ...
doi:10.1007/s00138-010-0304-x
fatcat:jocxqrtv4fhorn323xrvtir37y
Decolorization
2013
SIGGRAPH Asia 2013 Technical Briefs on - SA '13
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Figure 1: First row: original color images. Second row: the failure cases of existing decolorization methods. ...
Currently all the existing methods suffer from the same weakness -robustness: failure cases can be easily found for each of the methods. ...
Specifically, we compute the matching cost image C as follows, C = |I g − I I |. (5) Summing up all the pixels of all channels in the matching cost image yields the cost δ, which we adopt as a metric to ...
doi:10.1145/2542355.2542374
dblp:conf/siggraph/SongBXY13
fatcat:4nk2fm5vxzdx3phvrypy6u2qgm
Two Decades of Colorization and Decolorization for Images and Videos
[article]
2022
arXiv
pre-print
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Different from image decolorization, video decolorization should not only consider the image contrast preservation in each video frame, but also respect the temporal and spatial consistency between video ...
On the contrary, decolorization is to convert a color image or video into a grayscale one. ...
[78] proposed a robust decolorization method by modifying the rgb2gray() function. ...
arXiv:2204.13322v2
fatcat:g7kjwvc5crhlvpff76xiusl72a
Enhancing by saliency-guided decolorization
2011
CVPR 2011
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This paper introduces an effective decolorization algorithm that preserves the appearance of the original color image. ...
applications such as video decolorization, detail enhancement, single image dehazing and segmentation under different illuminants. ...
Acknowledgments: The authors would like to thank the reviewers for the suggestions and Cedric Vanaken, Chris Hermans, Mark Gerrits and user-study volunteers for their support. ...
doi:10.1109/cvpr.2011.5995414
dblp:conf/cvpr/AncutiAB11
fatcat:z64ie2223rar5cnjhz6tm7ho74
COROLA: A Sequential Solution to Moving Object Detection Using Low-rank Approximation
[article]
2016
arXiv
pre-print
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Extracting moving objects from a video sequence and estimating the background of each individual image are fundamental issues in many practical applications such as visual surveillance, intelligent vehicle ...
F model for the current image and based on a transformation function between the current and the new image, the model is transformed to be matched with the new image. ...
In addition, the GMM for the previous E j−1 should be transformed via τ to match with the current E j . ...
arXiv:1505.03566v2
fatcat:iv2qrbtzwvbvhpioq2wg7mw43e
STACKED LOCAL FEATURE DETECTOR FOR HYPERSPECTRAL IMAGE
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Images registration is an important task in hyperspectral image processing, while almost all local feature point based image matching algorithm is designed for single band image only and miss the advantage ...
Both keypoint repeatability and matching accuracy increase significantly. Precision and matching score increase up to 10% for some scene. ...
For translation and rotation dataset, matching metric increase much the same, which indicate that proposed method is robust to rotation and view port change. ...
doi:10.5194/isprs-archives-xliii-b3-2020-495-2020
fatcat:ydpjcw7rnbakddtsqfuphfab4i
Color-to-Grayscale: Does the Method Matter in Image Recognition?
2012
PLoS ONE
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using descriptors that are robust to changes in illumination. ...
We identify a simple method that generally works best for face and object recognition, and two that work well for recognizing textures. ...
For comparison [25] , achieved 67:0+0:5% with grayscale SIFT descriptors that had been sparse coded in a hierarchical spatial pyramid matching system. ...
doi:10.1371/journal.pone.0029740
pmid:22253768
pmcid:PMC3254613
fatcat:5fr6yo4nifg2tlun236flujbje
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
[article]
2012
arXiv
pre-print
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Object detection is a fundamental step for automated video analysis in many vision applications. ...
We explain the relations between DECOLOR and other sparsity-based methods. ...
DECOLOR learns the bases and coefficients for a batch of test images simultaneously. ...
arXiv:1109.0882v2
fatcat:oztpk3jtungyjni52palchn54m
Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
2013
IEEE Transactions on Pattern Analysis and Machine Intelligence
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Object detection is a fundamental step for automated video analysis in many vision applications. ...
We explain the relations between DECOLOR and other sparsity-based methods. ...
DECOLOR learns the bases and coefficients for a batch of test images simultaneously. ...
doi:10.1109/tpami.2012.132
pmid:22689075
fatcat:v5oshvyjxfhqlj6rmqtwxwng5e
A sparse linear model for saliency-guided decolorization
2013
2013 IEEE International Conference on Image Processing
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We instead consider constructing an image-dependent feature space by learning a representative dictionary, and carry out decolorizing an image by retaining the structures there. ...
To this end, for a given image, the atoms of the dictionary are systematically collected to reflect the visually important/salient contents, and also to concisely reduce chromatic redundancy. ...
We want to thank the anonymous reviewers for their useful comments. This work was supported in part by NSC grant 99-2221-E-001-011-MY3. ...
doi:10.1109/icip.2013.6738228
dblp:conf/icip/LiuL13
fatcat:k6hadhjpiffqdbizg6orvpvoh4
An automatic word-spotting framework for medieval manuscripts
2015
2015 Digital Heritage
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require any human intervention to produce a large amount of annotated training data, and it provides Computer Vision researchers and Cultural Heritage practitioners with a compact and efficient system for ...
executed the pipeline both in a single-manuscript and a cross-manuscript setup, and we have tested it on a heterogeneous set of medieval manuscripts, that includes a variety of writing styles, languages, image ...
We also acknowledge the contribution of Sardinian Regional authorities for Data Intensive Computing activities. ...
doi:10.1109/digitalheritage.2015.7419446
dblp:conf/dh/PintusYGR15
fatcat:vd3scxm2rrhr3mp34iojg4pkhi
Congo Red Decolorization Using Textile Filters and Laccase-Based Nanocomposites in Continuous Flow Bioreactors
2020
Nanomaterials
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Backscattered electron (BSE) images of the different filters were obtained before and after the decolorization process. ...
The results indicate removal efficiencies that approached 40% for enzymes immobilized on the more hydrophobic supports. ...
authors would like to thank the Cleanroom, the Department of Electrical and Electronics Engineering and the Department of Biomedical Engineering at Universidad de los Andes and Fundación FEMSA from Mexico for ...
doi:10.3390/nano10061227
pmid:32599744
fatcat:b7kj7rslujcw5a2toinpn6p6hi
PHOTOMATCH: AN OPEN-SOURCE MULTI-VIEW AND MULTI-MODAL FEATURE MATCHING TOOL FOR PHOTOGRAMMETRIC APPLICATIONS
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This paper presents an ISPRS Scientific Initiative aimed at providing the community with an educational open-source tool (called PhotoMatch) for tie point extractions and image matching. ...
Several enhancement and decolorization methods can be initially applied to an image dataset in order to improve the successive feature extraction steps. ...
ACKNOWLEDGEMENTS This work was supported by ISPRS through the 2019 Scientific Initiative entitled "Development of an open source multi-view and multimodal feature marching tool for photogrammetric applications ...
doi:10.5194/isprs-archives-xliii-b5-2020-213-2020
fatcat:hnsmpjfklneeplvwebnkc6pogu
DEVELOPMENT OF AN ALL-PURPOSE FREE PHOTOGRAMMETRIC TOOL
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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GRAPHOS is distributed for free for research and educational needs. ...
It encloses robust photogrammetric and computer vision algorithms with the following aims: (i) increase automation, allowing to get dense 3D point clouds through a friendly and easy-to-use interface; ( ...
ACKNOWLEDGEMENTS Authors are thankful to ISPRS for supporting GRAPHOS activities and developments through the Scientific Initiative "Advances in the Development of an Open-source Photogrammetric Tool". ...
doi:10.5194/isprsarchives-xli-b6-31-2016
fatcat:ymz22wzx5bhdxlaupjgm5ua67a
DEVELOPMENT OF AN ALL-PURPOSE FREE PHOTOGRAMMETRIC TOOL
2016
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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GRAPHOS is distributed for free for research and educational needs. ...
It encloses robust photogrammetric and computer vision algorithms with the following aims: (i) increase automation, allowing to get dense 3D point clouds through a friendly and easy-to-use interface; ( ...
ACKNOWLEDGEMENTS Authors are thankful to ISPRS for supporting GRAPHOS activities and developments through the Scientific Initiative "Advances in the Development of an Open-source Photogrammetric Tool". ...
doi:10.5194/isprs-archives-xli-b6-31-2016
fatcat:kwfsgf2ymzgt5a3soaac2egpra
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