Title :
Wavelet-based fixed and embedded L-infinite-constrained coding
Author :
Alecu, Alin ; Munteanu, Adrian ; Schelkens, Peter ; Cornelis, Jan ; Dewitte, Steven
Author_Institution :
Electron. & Inf. Process. Dept., Vrije Universiteit Brussel, Brussels, Belgium
Abstract :
A new wavelet-based L-infinite-constrained fixed and embedded coding technique is proposed in this paper. For any desired distortion bound, the embedded bit stream can be truncated at a corresponding bit-rate, for which the required upper bound on the individual elements of the reconstruction error signal is guaranteed. The original signal can also be coded up to a fixed a priori user-defined distortion bound, ranging up to lossless coding. The proposed coding technique supports both 2D (images) and 3D (volumetric) input data.
Keywords :
image coding; image reconstruction; transform coding; wavelet transforms; 2D input data; 3D input data; L-infinite-constrained coding; distortion bound; embedded bit stream truncation; embedded coding; fixed coding; images; lossless coding; reconstruction error signal; signal coding; user-defined distortion bound; volumetric input data; wavelet-based coding; Distortion; Error correction codes; Image coding; Image reconstruction; Information processing; Partitioning algorithms; Upper bound; Wavelet coefficients; Wavelet domain; Wavelet transforms;
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
DOI :
10.1109/ICDSP.2002.1028139