Adaptive Coding For Image Sequences In Transform Domain Based On A Classification Strategy

G. Tu; L. Van Eycken; A. Oosterlinck

doi:10.1117/12.948450

16 December 1988 Adaptive Coding For Image Sequences In Transform Domain Based On A Classification Strategy

G. Tu, L. Van Eycken, A. Oosterlinck

Proceedings Volume 0974, Applications of Digital Image Processing XI; (1988) https://doi.org/10.1117/12.948450
Event: 32nd Annual International Technical Symposium on Optical and Optoelectronic Applied Science and Engineering, 1988, San Diego, CA, United States

Abstract

This paper presents an adaptive coding technique, based on a classification strategy, for color image sequence signal. Due to the classification process, carried out in the data domain, the non-stationary image data are partitioned into different classes characterized by the local spatial activities. The coding process is then optimized in each class. The low-passed image data are coded from two processing loops: a dynamic one in which an image block is obtained by using motion-estimation; a static loop in which a best matched vector from a vector quantization sub-codebook is chosen. The motion estimated data block, on the other hand, contains also the classification information. The difference data are then adaptively encoded by using the classification informations, and the properties of the human visual system can be incorporated in order to increase the performance.

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G. Tu, L. Van Eycken, and A. Oosterlinck "Adaptive Coding For Image Sequences In Transform Domain Based On A Classification Strategy", Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); https://doi.org/10.1117/12.948450

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