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 512/spl times/512 "Lenna" image. Comparison of the systems with other results from the literature show that the fully adaptive system is quite competitive.<>
Adaptive wavelet coding of images
Proceedings of 1st International Conference on Image Processing ; 3 ; 358-362 vol.3
01.01.1994
476718 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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