Wavelet image compression based on bit-plane context and its application to remote sensing images

摘要

A novel wavelet image compression scheme is proposed in this paper. The scheme is based on bit-plane context and adaptive arithmetic coding. Parent coefficient and parent neighboring coefficients of current coding coefficient are used to construct context models besides its neighboring coefficients. Higher order entropy is sufficiently employed. Experimental results show that the scheme is among the best image coders for natural images and remote sensing images.