VLSI architecture for the Hadamard-transform-based fast VQ encoder

Shurong Cheng; Zhe-Ming Lu; Xiamu Niu

doi:10.1117/12.441687

20 September 2001 VLSI architecture for the Hadamard-transform-based fast VQ encoder

Shurong Cheng, Zhe-Ming Lu, Xiamu Niu

Proceedings Volume 4555, Neural Network and Distributed Processing; (2001) https://doi.org/10.1117/12.441687
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Vector Quantization (VQ) is an efficient image compression technique. In this paper, a new VLSI architecture for Vector Quantization (VQ) encoding based on the Hadamard Transform (HT) domain with the partial distance search (PDS) technique is proposed. The PDS algorithm is a simple and efficient algorithm, which allows early termination of the distortion calculation between an input vector and a codeword by introducing a premature exit condition in the search process. By using a codeword elimination criterion based on MSE in the Hadamard transform, presorted codebook and nearest search method, a large number of codewords can be rejected before computing MSE while the image quality remaining unchanged compared to the full-search VQ encoder. The proposed fast codeword search algorithm can reduce computation and is easier to be implemented by VLSI technology. Experimental results demonstrate the effectiveness of the proposed VLSI architecture.

Citation Download Citation

Shurong Cheng, Zhe-Ming Lu, and Xiamu Niu "VLSI architecture for the Hadamard-transform-based fast VQ encoder", Proc. SPIE 4555, Neural Network and Distributed Processing, (20 September 2001); https://doi.org/10.1117/12.441687

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KEYWORDS

Computer programming

Very large scale integration

Quantization

Distortion

Image compression

Algorithm development

Clocks

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