基于TMS320C30的自适应神经网络矢量量化算法及其在彩色图像编码中的实现

Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257) Pub Date : 1999-09-06 DOI:10.1109/IVEC.1999.830681

W. Xuejun, Xu Yong, C. Hexin

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引用次数: 0

摘要

本文首先提出了一种自适应神经网络矢量量化算法，然后利用该算法在TMS320C30处理器上实现了彩色图像编码系统。实验结果表明，该算法能获得较好的图像质量，彩色图像编码系统是有效的。

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An adaptive neural network vector quantization algorithm and its implementation based on TMS320C30 in color image coding

In this paper, an adaptive neural network vector quantization algorithm is proposed first, then using this algorithm, an implementation based on TMS320C30 processor is developed in a color image coding system. The results show a better image quality by using this algorithm and that the color image coding system is effective.

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Proceedings of the IEEE International Vehicle Electronics Conference (IVEC'99) (Cat. No.99EX257)

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