Abstract
A predictive image coder having minimal decoder complexity is presented. The image coder utilizes recursive interpolative DPCM in conjunction with adaptive classification, entropy-constrained trellis coded quantization, and optimal rate allocation to obtain signal-to-noise ratios (SNR's) in the range of those provided by the most advanced transform coders.
Original language | English (US) |
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Pages (from-to) | 1061-1069 |
Number of pages | 9 |
Journal | IEEE Transactions on Image Processing |
Volume | 4 |
Issue number | 8 |
DOIs | |
State | Published - Aug 1995 |
ASJC Scopus subject areas
- Software
- Computer Graphics and Computer-Aided Design