Image Vector Quantization for Interframe Coding Applications

In this paper, an interframe image coding via vector quantization (VQ) is considered. Here, we identify the moving vectors in each frame using a block matching technique. A prediction is estimated by searching in the direction of minimum distortion in the previous reconstructed frame, then the differential vectors are quantized via a modified VQ to achieve high compression. Simulations have shown that an average PSNR=33 can be achieved at a bit rate R=0.15-0.25 bpp.