Adaptive image coding based on the discrete wavelet transform
Hamid Jafarkhani, Nariman Farvardin, C.C. Lee · 2002
In this paper we present an adaptive discrete wavelet transform image coding scheme. The main contribution of the work is in developing a simple classification procedure which is used to classify the subband blocks into a finite number of classes. The classified subband blocks are subsequently encoded. The low frequency band is encoded by means of a 2-D DCT using entropy-coded trellis coded quantization (ECTCQ); other bands are directly encoded using ECTCQ. The peak signal-to-noise ratio results of the proposed adaptive system are 0.4-1.0 dB superior to those of its non-adaptive counterpart.>