IMAGE CODING USING WAVELET TRANSFORMS AND QUANTIZATION* ENTROPY-CONSTRAINED TRELLIS CODED
P. Sriram, Michael W. Marcellin · 1993
The discrete wavelet transform has recently emerged as a powerful technique for decomposing images into various multi-resolution approximations. Multiresolution decomposition schemes have proven to be very effective for high-quality, low bit-rate image coding. In this work, we investigate the use of entropyconstrained trellis coded quantization for encoding the wavelet coeficients of both monochrome and color images. Excellent peak signal-to-noise ratios are obtained for encoding monochrome and color versions of the 512 x 512 “Lenna” image. Comparisons with other results from the literature reveal that the proposed wavelet coder is quite competitive.