Analysis-based coding of image transform and subband coefficients
V. Ralph Algazi, Robert R. Estes · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1995
Image coding requires an e ective representation of images to provide dimensionality reduction, a quantization strategy to maintain image quality, and nally the error free encoding of quantized coe cients.In the coding of quantized coe cients, Hu man coding and arithmetic coding have been used most commonly and are suggested as alternatives in the JPEG standard.In some recent w ork, zerotree coding has been proposed as an alternate method, that considers the dependence of of quantized coe cients from subband to subband, and thus appears as a generalization of the context-based approach often used with arithmetic coding.In this paper, we propose to review these approaches and discuss them as special cases of an analysis based approach to the coding of coe cients.The requirements on causality and computational complexity implied by arithmetic and zero-tree coding will be studied and other schemes proposed for the choice of the predictive coe cient c o n texts that are suggested by image analysis.