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 presented as well.
Original language | English (US) |
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Pages (from-to) | 1279-1283 |
Number of pages | 5 |
Journal | Conference Record of the Asilomar Conference on Signals, Systems and Computers |
Volume | 2 |
State | Published - 1997 |
Event | Proceedings of the 1996 30th Asilomar Conference on Signals, Systems & Computers. Part 2 (of 2) - Pacific Grove, CA, USA Duration: Nov 3 1996 → Nov 6 1996 |
ASJC Scopus subject areas
- Signal Processing
- Computer Networks and Communications