Abstract
This paper proposes a new coding scheme for a two-component model of images using wavelet transform. In this scheme, assumimg that image signals follow the two-component model which consists of a nonstationary component(low frequency image)and a stationary random component(high frequency image), we divide an original image into low and high frequency images by means of biorthogonal filter bank. Then we use DPCM coding with one predictor coefficient for the former and variable density sampling with exploitation of self-similarity for the later, so that we realize a coding/decoding system that has no multiplication. Finally we simulate this scheme and show the effectiveness.
