In this paper, we introduce a new approach for edge preserving image compression technique based on the wavelet transform and iterative constrained least square regularization approach. This approach treats image reconstructed from lossy image compression as the process of image restoration. It utilizes the edge information detected from the source image as a priori knowledge for the subsequent reconstruction In order to compromise the overall bit rate incurred by the additional edge information, a simple vector quantization scheme is proposed to classify the edge bit-planes pattern into a number of binary codevectors. The experiment showed that the proposed approach could definitely prove both objective and subjective quality of the reconstructed image by recovering more image details and edges.
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