Stack-run adaptive wavelet image coding
Summary form only given. An adaptive wavelet transform based on an image coder that employs a stack-run representation for quantized transform coefficients and benefits from the intra-subband redundancies is presented. The compression algorithm can be divided into four parts. First, an adaptive wavelet packet basis is selected for representing the given image using certain entropy-based cost functions. Second, the wavelet packet coefficients are quantized using an optimal scalar quantizer for Laplacian distribution. Third, the quantized coefficient is represented with stack-run coding generating a redundant symbol stream. Finally, this symbol stream is entropy coded using a higher order arithmetic coder.