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Title: A new adaptive interframe transform coding using directional classification
Authors: Chan, Yui-lam
Siu, Wan-chi
Subjects: Huffman codes
Adaptive codes
Discrete cosine transforms
Image sequences
Transform coding
Issue Date: 1994
Publisher: IEEE
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.
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Type: Conference Paper
DOI: 10.1109/ICIP.1994.413501
ISBN: 0-8186-6950-0
Appears in Collections:EE Conference Papers & Presentations

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