Simple and efficient wavelet image compression
We propose a simple but efficient wavelet image compression algorithm. The proposed coding scheme employs the multi-level dyadic wavelet decomposition, linear quantization with a proper dead zone, 1-D addressing complexity by raster scanning within subbands, variable length block coding, small alphabet representation of 1-D integer sequences, and adaptive arithmetic entropy coding. 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.