A novel image compression encoding algorithm

In this paper, the image compression encoding algorithm is improved. The first, the high-frequency coefficients are transformed to the spherical domain to reduce the correlation in the same scale. Then, based on two premises, the multi-scale model product is defined, which is used to control the shrinkage function. In this way, the small wavelet coefficients and some noise can be removed. This strategy ensures a higher compression ratio. The low-frequency part is coded by DPCM, the high-frequency parts in spherical domain are coded by the improved set partitioning in hierachical trees (SPIHT) algorithm. In the new algorithm, the matrix of maximum pixel (MMP) is introduced to overcome the disadvatage of the traditional SPIHT algorithm. Experimetal results indicate that the new algorithm is effective and improves the images signal to noise ratio.