In this work, we propose end-to-end image compression/decompression systems based on the discrete wavelet transform (DWT), entropy-constrained trellis coded quantization (ECTCQ), and arithmetic coding. Two forms of adaptation (codebook and image subblock) are investigated. The baseline system uses neither form of adaptation, while the adaptive systems use one or both forms of adaptivity. Excellent peak signal-to-noise ratios are obtained for the 512x512 "Lenna" image. Comparison of the systems with other results from the literature show that the fully adaptive system is quite competitive.
|Original language||English (US)|
|Number of pages||5|
|Journal||Proceedings - International Conference on Image Processing, ICIP|
|State||Published - 1994|
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Signal Processing