Title :
Universal TCQ in wavelet image coding
Author :
Kasner, James H. ; Marcellin, Michael W. ; Hunt, B.R.
Author_Institution :
Optivision Inc., Davis, CA, USA
Abstract :
The discrete wavelet transform has emerged as a powerful tool for the lossy compression of imagery. In this work, an adaptive still-image wavelet coder is presented. The coder is based on a variant of entropy-constrained trellis coded quantization (ECTCQ). This new form of ECTCQ is called universal trellis coded quantization (UTCQ) and offers several advantages over previous versions of ECTCQ, including no computationally expensive training algorithm, and no stored codebooks. Perceptual coding improvements of the UTCQ coding system are also presented.
Keywords :
adaptive codes; data compression; entropy codes; image coding; quantisation (signal); rate distortion theory; transform coding; transforms; trellis codes; wavelet transforms; ECTCQ; UTCQ coding; adaptive still-image wavelet coder; discrete wavelet transform; entropy-constrained trellis coded quantization; image coding; lossy image compression; perceptual coding improvements; universal trellis coded quantization; Algorithm design and analysis; Binary trees; Discrete wavelet transforms; Distributed computing; Encoding; Image coding; Iterative algorithms; Labeling; Quantization; Rate-distortion;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.599151
