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Block pattern coding of HVS-based wavelets for image compression

In this paper, we present a wavelet-based image compression technique, which incorporates some of the human visual system (HVS) characteristics for the wavelet decomposition and bit allocation of subband images. The wavelet coefficients are coded using a new technique, referred to as Block Pattern Coding algorithm. The proposed technique employs a set of local geometric patterns, which preserve the underlying edge geometries in the high frequency signals at very low coding rates. Critical to the success of our approach is the frequent utilization of a special block pattern, which is a uniform pattern of constant intensity to reproduce image blocks of near constant intensity. A performance comparison with JPEG and HVS-based wavelets using VQ is presented for both moderate and heavy compression.