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Similarity of Color Images

by Markus Stricker, Markus Orengo , 1995
"... We describe two new color indexing techniques. The first one is a more robust version of the commonly used color histogram indexing. In the index we store the cumulative color histograms. The L 1 -, L 2 -, or L1 -distance between two cumulative color histograms can be used to define a similarity mea ..."
Abstract - Cited by 495 (2 self) - Add to MetaCart
of storing the complete color distributions, the index contains only their dominant features. We implement this approach by storing the first three moments of each color channel of an image in the index, i.e., for a HSV image we store only 9 floating point numbers per image. The similarity function which

Bilateral Filtering for Gray and Color Images

by C. Tomasi , 1998
"... tomasi @ cs.stanford.edu Bilateral filtering smooths images while preserving edges, by means of a nonlinear combination of nearby image values. The method is noniterative, local, and sim-ple. It combines gray levels or colors based on both their geometric closeness and their photometric similariv, a ..."
Abstract - Cited by 1156 (2 self) - Add to MetaCart
tomasi @ cs.stanford.edu Bilateral filtering smooths images while preserving edges, by means of a nonlinear combination of nearby image values. The method is noniterative, local, and sim-ple. It combines gray levels or colors based on both their geometric closeness and their photometric similariv

Face Detection In Color Images

by Rein-Lien Hsu, Mohamed Abdel-mottaleb, Anil K. Jain - IEEE Transactions on Pattern Analysis and Machine Intelligence , 2002
"... Human face detection is often the first step in applications such as video surveillance, human computer interface, face recognition, and image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds. Ou ..."
Abstract - Cited by 338 (8 self) - Add to MetaCart
Human face detection is often the first step in applications such as video surveillance, human computer interface, face recognition, and image database management. We propose a face detection algorithm for color images in the presence of varying lighting conditions as well as complex backgrounds

Sparse representation for color image restoration

by Julien Mairal, Julien Mairal, Michael Elad, Michael Elad, Guillermo Sapiro, Guillermo Sapiro - the IEEE Trans. on Image Processing , 2007
"... Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over a redundant dictionary leads to efficient algorithms for handling such sources of data. In particular, the design of well adapted ..."
Abstract - Cited by 219 (30 self) - Add to MetaCart
adapted dictionaries for images has been a major challenge. The K-SVD has been recently proposed for this task [1], and shown to perform very well for various gray-scale image processing tasks. In this paper we address the problem of learning dictionaries for color images and extend the K-SVD-based gray

Digital color imaging

by Gaurav Sharma, H. Joel Trussell - IEEE Trans. Image Process , 1997
"... in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented using vector-space notation and terminology. Present-day color recording and reproduction systems are reviewed along with ..."
Abstract - Cited by 126 (14 self) - Add to MetaCart
in the area of digital color imaging. In order to establish the background and lay down terminology, fundamental concepts of color perception and measurement are first presented using vector-space notation and terminology. Present-day color recording and reproduction systems are reviewed along

The Canonical Correlations of Color Images

by Yacov Hel-or, Yacov Hel-or , 2004
"... color image, demosaic, image statistics ..."
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color image, demosaic, image statistics

Color image segmentation: Advances and prospects

by H. D. Cheng, X. H. Jiang, Y. Sun, Jing Li Wang - Pattern Recognition , 2001
"... Image segmentation is very essential and critical to image processing and pattern recognition. This survey provides a summary of color image segmentation techniques available now. Basically, color segmentation approaches are based on monochrome segmentation approaches operating in di erent color spa ..."
Abstract - Cited by 199 (5 self) - Add to MetaCart
Image segmentation is very essential and critical to image processing and pattern recognition. This survey provides a summary of color image segmentation techniques available now. Basically, color segmentation approaches are based on monochrome segmentation approaches operating in di erent color

Robust Analysis of Feature Spaces: Color Image Segmentation

by Dorin Comaniciu , Peter Meer , 1997
"... A general technique for the recovery of significant image features is presented. The technique is basedon the mean shift algorithm, a simple nonparametric procedure for estimating density gradients. Drawbacks of the current methods (including robust clustering) are avoided. Featurespace of any natu ..."
Abstract - Cited by 226 (6 self) - Add to MetaCart
naturecan beprocessed, and as an example, color image segmentation is discussed. The segmentation is completely autonomous, only its class is chosen by the user. Thus, the same program can produce a high quality edge image, or provide, by extracting all the significant colors, a preprocessor for content

Digital Color Imaging Handbook

by Gaurav Sharma , 2003
"... Digital technology now enables unparalleled functionality and flexibility in the capture, processing,exchange,and output of color images. But harnessing its potential requires knowledge of color science, systems, processing algorithms, and device characteristics—topics drawn from a broad range of di ..."
Abstract - Cited by 71 (5 self) - Add to MetaCart
Digital technology now enables unparalleled functionality and flexibility in the capture, processing,exchange,and output of color images. But harnessing its potential requires knowledge of color science, systems, processing algorithms, and device characteristics—topics drawn from a broad range

A physical Approach to Color Image Understanding

by Gudrun J. Klinker, Steven A. Shafer, Takeo Kanade , 1990
"... In this paper, we present an approach to color image understanding that can be used to segment and analyze sur- faces with color variations due to highlights and shading. The work is based on a theory-the Dichromatic Reflec- tion Model-which describes the color of the reflected light as a mixture ..."
Abstract - Cited by 211 (10 self) - Add to MetaCart
In this paper, we present an approach to color image understanding that can be used to segment and analyze sur- faces with color variations due to highlights and shading. The work is based on a theory-the Dichromatic Reflec- tion Model-which describes the color of the reflected light as a mixture
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