Applications Of Vector Quantization To Progressive Compression And Transmission Of Images

M. Ibrahim Sezan; Chia-Lung Yeh; A. Murat Tekalp; Majid Rabbani; Paul Jones

doi:10.1117/12.976483

13 October 1987 Applications Of Vector Quantization To Progressive Compression And Transmission Of Images

M. Ibrahim Sezan, Chia-Lung Yeh, A. Murat Tekalp, Majid Rabbani, Paul Jones

Proceedings Volume 0845, Visual Communications and Image Processing II; (1987) https://doi.org/10.1117/12.976483
Event: Cambridge Symposium on Optics in Medicine and Visual Image Processing, 1987, San Diego, CA, United States

Abstract

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.

Citation Download Citation

M. Ibrahim Sezan, Chia-Lung Yeh, A. Murat Tekalp, Majid Rabbani, and Paul Jones "Applications Of Vector Quantization To Progressive Compression And Transmission Of Images", Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); https://doi.org/10.1117/12.976483

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