Image and video compression for multimedia applications

摘要

In this paper we discuss a coding method that is suitable for multimedia applications. This method is based on the efficient coding of image wavelet coefficients using zerotree multi-stage lattice vector quantization. We refer to this method as Successive Approximation Waveelt Vector Quantization (SA-W-VQ). The basic idea in SA-W-VQ is that the original blocks of wavelet coefficients are successively refined based on vectors of progressively decreasing magnitude and a finite set of prototype orientations. Block zero-tree prediction and adaptive arithmetic coding are incorporated to improve the efficiency of the codec. It is shown that this coding scheme achieves high compression ratios with good picture quality, maintaining a very simple implementation. Simulation results are provided to evalaute the coding performance of the described coding scheme for still image and low bit rate video coding. Comparison with both the standard JPEG coder and the RM8 implementation of the stadnard H.261 video codec, shows that the presented codec provides improvements in both the peak signal-to-noise ratio and the picture quality.