Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1923
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Title: A new adaptive interframe transform coding using directional classification
Authors: Chan, YL 
Siu, WC 
Issue Date: 1994
Source: ICIP-94 : 1994 IEEE International Conference on Image Processing : proceedings : November 13-16, 1994, Austin, Texas, v. 2, p. 977-981
Abstract: Interframe transform coding is affected not only by the statistics of spatial details within a frame, but also by the variation of the amount of movement and other temporal activities in different regions of the image sequence. Therefore, adaptive techniques have to be used in order to achieve good image quality. In this paper, we propose a new version of the adaptive interframe coding method, namely directional classification, which is based on image sequence statistics. Blocks with different perceptual features such as edges and high motion activity are categorized to different classes. Then, a new adaptive quantization, associated with appropriate scanning and huffman coding, are employed based on the classification map. Coding tests using computer simulation show this technique is indeed very efficient.
Keywords: Huffman codes
Adaptive codes
Discrete cosine transforms
Image sequences
Transform coding
Publisher: IEEE
ISBN: 0-8186-6950-0
DOI: 10.1109/ICIP.1994.413501
Rights: © 1994 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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