Image coding with multiresolution morphological pyramid and vector quantization
It has been proven that the morphological pyramid is a useful tool in image compression due to low computational complexity, simple implementation and good compression performance based on minimization of entropy of the error pyramid [7,9]. Several morphology based pyramid decomposition techniques already exist [6-11,21,22,24]. These techniques use morphological filters prior to the down sampling of images. The coding schemes developed commonly omit the first error image of the error pyramid to achieve high compression ratios. However, fine image details may be lost in this process. In order to get a high quahty lossy image, an estimator for the first error image has been developed in . By using this estimator, the bits per pixel required to code the first error image can be reduced by 30 to 40 percent to obtain "near lossless" compression.