A hybrid shape-adaptive orthogonal transform for coding of image segments

Improvements in the compression performance can be achieved if the image transform is able to adapt to the shape of the objects present. We propose a new hybrid shape-adaptive orthogonal transform which is based on M-channel subband decomposition and shape-adaptive DCT techniques. The signal extension method for the region-based dyadic wavelet transform is applied to region-based image coding using M-channel filter banks. Simulation results show that the proposed method outperforms shape-adaptive DCT coding