16 December 1988 Adaptive Coding For Image Sequences In Transform Domain Based On A Classification Strategy
Author Affiliations +
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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
G. Tu, L. Van Eycken, 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); doi: 10.1117/12.948450; https://doi.org/10.1117/12.948450


Improved block-matching algorithm considering edge components
Proceedings of SPIE (November 01 1990)
Image sequence coding using data classification
Proceedings of SPIE (November 01 1990)
A Hybrid Image Compression Method For Medical Images
Proceedings of SPIE (June 27 1988)
Vector quantization with 3-D gradient motion compensation
Proceedings of SPIE (September 01 1990)
LOT-based adaptive image watermarking
Proceedings of SPIE (June 22 2004)
Maximum likelihood estimation of affine-modeled image motion
Proceedings of SPIE (December 01 1991)

Back to Top