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28 December 2000 Image representation scheme using histogram-based classifier and its application to image coding
Farhad Keissarian, Mohammad Farhang Daemi
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Proceedings Volume 4115, Applications of Digital Image Processing XXIII; (2000) https://doi.org/10.1117/12.411541
Event: International Symposium on Optical Science and Technology, 2000, San Diego, CA, United States
Abstract
In this paper, a new image representation scheme using a set of block templates is introduced first. Its application in image coding is presented afterwards. In the proposed representation scheme, a set of block templates is constructed to represent three basic types of image patterns: uniform, edge, and irregular. A novel classifier, which is designed based on the histogram shape analysis of image blocks, is employed to classify the block templates according to their level of visual activity. Each block template is then represented by a set of parameters associated with the pattern appearing inside the block. Image representation using these templates requires considerably fewer bits than the original pixel-wise description and yet characterizes perceptually significant features more effectively. The coding system approximates each image block by one of the block templates and further quantizes the template parameters. Satisfactory coded images have been obtained at bit rates between 0.3 - 0.4 bits per pixel (bpp).
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Farhad Keissarian and Mohammad Farhang Daemi "Image representation scheme using histogram-based classifier and its application to image coding", Proc. SPIE 4115, Applications of Digital Image Processing XXIII, (28 December 2000); https://doi.org/10.1117/12.411541
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KEYWORDS
Image compression
Image analysis
Image classification
Quantization
Visualization
Distortion
Image processing
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