Novel coding scheme for wavelet image compression
In this paper, we propose a very simple image compression scheme. The proposed coding scheme employs the multi-level dyadic wavelet decomposition, linear quantization with a proper dead zone, and then it converts the quantized wavelet coefficients into three 1-D sequences for adaptive arithmetic coding. First, some of the clustered zeros in the multi-level dyadic wavelet decomposition are represented with the quadtree code, and then the remaining zeros and non-zero integers are arranged as a 1-D sequence by raster scanning. Next, the resulting integer sequence is decomposed into two 1-D sequences with small alphabet. Despite the simplicity of the proposed coding scheme, the rate-distortion performance of the proposed image compression algorithm is competitive with the best image coders in the literature.