Title :
A shape-adaptive transform for object-based coding
Author :
Donescu, Ioana ; Avaro, O. ; Roux, Christian
Author_Institution :
CNET, Issy-les-Moulineaux, France
Abstract :
The efficient representation of image texture on arbitrarily shaped regions of support is an important problem to be solved in region-based coding schemes. One solution for smooth signals is the use of a linear transform, in order to achieve decorrelation and energy concentration for the input signal. In this paper, a general formulation for a class of shape adaptive transforms, that includes some known shape-adaptive methods as particular cases, is proposed and discussed. Within this general formulation, a new shape-adaptive, rectangular transform-based algorithm is investigated. The performance evaluation includes both theoretical decorrelation and distortion vs. rate results
Keywords :
adaptive codes; image coding; image representation; image segmentation; image texture; rate distortion theory; transform coding; arbitrarily shaped regions of support; decorrelation; energy concentration; general formulation; image texture representation; linear transform; object-based coding; performance evaluation; rate distortion results; rectangular transform-based algorithm; region-based coding; shape-adaptive transform; smooth signals; Decorrelation; Discrete cosine transforms; Discrete transforms; Distortion measurement; Image coding; Image texture; Shape; Statistics; Telecommunications; Transform coding;
Conference_Titel :
Image Processing, 1996. Proceedings., International Conference on
Conference_Location :
Lausanne
Print_ISBN :
0-7803-3259-8
DOI :
10.1109/ICIP.1996.560502
