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Matching Pursuit-Based Region-of-Interest Image Coding
Matching pursuit (MP) is a multiresolution signal analysis method and can be used to render a selected region of an image with a specific quality. A novel, scalable, and progressive MP-based region-of-interest image-coding scheme is presented. The method is capable of providing a trade off between r...
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Published in: | IEEE transactions on image processing 2007-02, Vol.16 (2), p.406-415 |
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container_title | IEEE transactions on image processing |
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creator | Ebrahimi-Moghadam, A. Shirani, S. |
description | Matching pursuit (MP) is a multiresolution signal analysis method and can be used to render a selected region of an image with a specific quality. A novel, scalable, and progressive MP-based region-of-interest image-coding scheme is presented. The method is capable of providing a trade off between rate, distortion, and complexity. The method also provides an interactive way of information refinement for regions of an image with higher receiver's priority. By selecting a proper subset of the huge initial MP dictionary, using the method described in this paper, the complexity burden of MP analysis can be adapted to the computational power of the image encoder |
doi_str_mv | 10.1109/TIP.2006.888333 |
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A novel, scalable, and progressive MP-based region-of-interest image-coding scheme is presented. The method is capable of providing a trade off between rate, distortion, and complexity. The method also provides an interactive way of information refinement for regions of an image with higher receiver's priority. By selecting a proper subset of the huge initial MP dictionary, using the method described in this paper, the complexity burden of MP analysis can be adapted to the computational power of the image encoder</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Bit rate</subject><subject>Coding, codes</subject><subject>Complexity</subject><subject>Data Compression - methods</subject><subject>Dictionaries</subject><subject>Distortion</subject><subject>Embedded coding</subject><subject>Encoders</subject><subject>Exact sciences and technology</subject><subject>Image analysis</subject><subject>Image coding</subject><subject>image compression</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image processing</subject><subject>Image resolution</subject><subject>Information, signal and communications theory</subject><subject>Interactive</subject><subject>Iterative algorithms</subject><subject>lossy compression</subject><subject>Matching</subject><subject>matching pursuit (MP)</subject><subject>Matching pursuit algorithms</subject><subject>Miscellaneous</subject><subject>Numerical Analysis, Computer-Assisted</subject><subject>region-of-interest (ROI)</subject><subject>Scalability</subject><subject>Signal and communications theory</subject><subject>Signal processing</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Signal representation. 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source | IEEE Electronic Library (IEL) Journals |
subjects | Algorithms Applied sciences Bit rate Coding, codes Complexity Data Compression - methods Dictionaries Distortion Embedded coding Encoders Exact sciences and technology Image analysis Image coding image compression Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image processing Image resolution Information, signal and communications theory Interactive Iterative algorithms lossy compression Matching matching pursuit (MP) Matching pursuit algorithms Miscellaneous Numerical Analysis, Computer-Assisted region-of-interest (ROI) Scalability Signal and communications theory Signal processing Signal Processing, Computer-Assisted Signal representation. Spectral analysis Signal resolution Signal, noise Streaming media Telecommunications and information theory |
title | Matching Pursuit-Based Region-of-Interest Image Coding |
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