Vector quantization by neural network

Yu He; Qianren Zhang; Yizheng Ye; Zhong-Rong Li

doi:10.1117/12.18880

1 July 1990 Vector quantization by neural network

Yu He, Qianren Zhang, Yizheng Ye, Zhong-Rong Li

Proceedings Volume 1232, Medical Imaging IV: Image Capture and Display; (1990) https://doi.org/10.1117/12.18880
Event: Medical Imaging '90, 1990, Newport Beach, CA, United States

Abstract

Vector quantization has been widely used in image encoding systems and speech recognition systems science 1980's. In this paper, three kinds of vector quantization approaches are introduced, which are based on neural networks. The principles of using neural networks to improve the performance of vector quantization are described. Because of high parallel computation, learning function, high fault tolerance and selforganizing capability of neural networks, the performance of vector quantizers is improved.

Citation Download Citation

Yu He, Qianren Zhang, Yizheng Ye, and Zhong-Rong Li "Vector quantization by neural network", Proc. SPIE 1232, Medical Imaging IV: Image Capture and Display, (1 July 1990); https://doi.org/10.1117/12.18880

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