Applications Of Vector Quantization To Progressive Compression And Transmission Of Images
M. Ibrahim Sezan, Chia-Lung Yeh, Ahmet Murat Tekalp, Majid Rabbani, Paul Jones · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1987
In this paper, we develop a technique based on tree-searched mean residual vector quantization (MRVQ) for progressive compression and transmission of images. In the first stage, averages over image subblocks of a certain size are transmitted. If the receiver decides to retain the image, the residual image generated by subtracting the block averages from the original is progressively transmitted using the tree-searched vector quantization (VQ) hierarchy. In an attempt to reduce the bit-rate of the initial transmission, Knowlton's scheme is used to transmit the block averages progressively. Using a (4x4) block size, we obtain high quality images at 1.4 bits/pixel.