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Color to gray conversions in the context of stereo matching algorithms

Luca Benedetti, Massimiliano Corsini, Paolo Cignoni, Marco Callieri, Roberto Scopigno
2010 Machine Vision and Applications  
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

Yibing Song, Linchao Bao, Xiaobin Xu, Qingxiong Yang
2013 SIGGRAPH Asia 2013 Technical Briefs on - SA '13  
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]

Shiguang Liu
2022 arXiv   pre-print
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

Codruta Orniana Ancuti, Cosmin Ancuti, Phillipe Bekaert
2011 CVPR 2011  
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]

Moein Shakeri, Hong Zhang
2016 arXiv   pre-print
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

Z. Yan, Z. Wu
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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?

Christopher Kanan, Garrison W. Cottrell, Eshel Ben-Jacob
2012 PLoS ONE  
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]

Xiaowei Zhou, Can Yang, Weichuan Yu
2012 arXiv   pre-print
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

Xiaowei Zhou, Can Yang, Weichuan Yu
2013 IEEE Transactions on Pattern Analysis and Machine Intelligence  
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

Chun-Wei Liu, Tyng-Luh Liu
2013 2013 IEEE International Conference on Image Processing  
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

Ruggero Pintus, Ying Yang, Enrico Gobbetti, Holly Rushmeier
2015 2015 Digital Heritage  
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

Natalia Lopez-Barbosa, Sergio Leonardo Florez, Juan C. Cruz, Nancy Ornelas-Soto, Johann F. Osma
2020 Nanomaterials  
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

D. González-Aguilera, E. Ruiz de Oña, L. López-Fernandez, E. M. Farella, E. K. Stathopoulou, I. Toschi, F. Remondino, P. Rodríguez-Gonzálvez, D. Hernández-López, A. Fusiello, F. Nex
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

D. González-Aguilera, L. López-Fernández, P. Rodriguez-Gonzalvez, D. Guerrero, D. Hernandez-Lopez, F. Remondino, F. Menna, E. Nocerino, I. Toschi, A. Ballabeni, M. Gaiani
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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

D. González-Aguilera, L. López-Fernández, P. Rodriguez-Gonzalvez, D. Guerrero, D. Hernandez-Lopez, F. Remondino, F. Menna, E. Nocerino, I. Toschi, A. Ballabeni, M. Gaiani
2016 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
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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