IMAGE-CODING USING HIERARCHICAL PREDICTIO N IN THE WAVELET DOMAIN

We present a new method for an efficient coding of image data. Based a n the dyadic wavelet transform, the algorithm utilizes tile remaining correlation between subbands. A successive approximation of wavelet co efficients yields a hierarchical symbol stream, which is highly compre ssed with a prediction of significant descendants (PSD). The coding al gorithm distinguishes itself by a high adaptivity to the image content . Tile resulting bitstream contains all image information in order of its significance. Therefore it is possible to truncate the bitstream a l any point; without to endanger the decoding process. The advantages of such an embedded bitstream are spatial and rare-distortion scalabil ity.