A robust zeroblock wavelet image coding for noisy channels

摘要

In this paper, a novel robust image coder with scalable resolution is presented, called Robust ZeroBlock Wavelet (RZBW), which is suitable for image transport over a noisy channel. In the coder, the zeroblock-based coding algorithm is used, which proved to be an efficient technique for exploiting the clustering of energy found in image transforms. The coder provides both excellent compression performance and graceful degradation over noisy channel. The coder compresses the wavelet coefficients from low frequency to high frequency, so the resolutions of the reconstructed image are scalable.