Title :
An adaptive transform approach for image compression
Author :
Vandendorpe, Luc ; Maison, Benoit ; Labeau, Fabrice
Author_Institution :
Commun. & Remote Sensing Lab., Univ. Catholique de Louvain, Belgium
Abstract :
A new transform/subband coding algorithm is proposed. Its original characteristic is that the transform operator is continuously updated during the encoding process on the base of previously decoded samples. Unlike other content based algorithms, no data overhead is implied and the method can be easily incorporated into most image compression schemes. Simulation results demonstrate that a substantial benefit can be derived from the method in the context of still image and video compression. We describe and justify an adaptation algorithm for fixed size orthogonal transforms suitable for video compression, showing how it can be applied to a particular class of time-varying filter banks, thereby eliminating the specific drawbacks of transform coding, while retaining the advantages of continuous adaptation
Keywords :
adaptive codes; adaptive signal processing; band-pass filters; data compression; filtering theory; image coding; time-varying filters; transform coding; video coding; adaptation algorithm; adaptive transform; content based algorithms; continuous adaptation; decoded samples; fixed size orthogonal transforms; image compression; image compression schemes; simulation results; still image compression; subband coding algorithm; time-varying filter banks; transform coding algorithm; transform operator; video compression; Decoding; Discrete transforms; Entropy coding; Filter bank; Image coding; Karhunen-Loeve transforms; Remote sensing; Shape; Transform coding; Video compression;
Conference_Titel :
Digital Signal Processing Workshop Proceedings, 1996., IEEE
Conference_Location :
Loen
Print_ISBN :
0-7803-3629-1
DOI :
10.1109/DSPWS.1996.555455