一种指数型模糊学习矢量量化图像编码算法

An Exponential Fuzzy Learning Vector Quantization Algorithm for Image Coding

本文分析了模糊矢量量化（ＦＶＱ）图像编码的原理，提出了一种指数型模糊学习矢量量化算法（ＥＦＬＶＱ）。实验结果表明，该算法具有快速收敛性能，设计的图像码书峰值信噪比与ＦＶＱ算法相比也略有改善。

The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed. Simulation results show that the proposed method has a better convergence rate than FVQ , and the PSNR is also improved a little.