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17,685
Similarity of Color Images
, 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
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Cited by 495 (2 self)
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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
, 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
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Cited by 1156 (2 self)
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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
- 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
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Cited by 338 (8 self)
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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
- 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
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Cited by 219 (30 self)
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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
- 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
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Cited by 126 (14 self)
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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
Color image segmentation: Advances and prospects
- 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
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Cited by 199 (5 self)
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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
, 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
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Cited by 226 (6 self)
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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
, 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
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Cited by 71 (5 self)
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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
, 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
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Cited by 211 (10 self)
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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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17,685
