一种新的模糊自适应感知图像编码系统

S. El-Khamy, I. Ghaleb, N. El-Yamany
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引用次数: 3

摘要

提出了一种新的模糊逻辑框架下的自适应感知图像编码系统。图像被分解成8/spl次/8块,然后进行离散余弦变换(DCT)。然后使用模糊c-中值(FCMED)聚类算法将图像DCT块分为四个模糊类。然后将编码位自适应地和感知地分配给每个类中的DCT系数。然后,DCT系数被归一化、最佳量化、编码和传输,并伴随着它们在信道上的开销信息。采用峰值信噪比(PSNR)测量和基于可察觉失真(JND)的感知测量来评估系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new fuzzy adaptive perceptual image coding system
A new adaptive, perceptual image coding system in the framework of fuzzy logic is proposed. The image is decomposed into 8/spl times/8 blocks that are then subjected to the discrete cosine transform (DCT). The image DCT blocks are then classified using the fuzzy c-medians (FCMED) clustering algorithm into four fuzzy classes. Coding bits are then adaptively and perceptually allocated to the DCT coefficients in each class. DCT coefficients are then normalized, optimally quantized, coded, and transmitted, accompanied by their overhead information over a channel. The performance of the proposed system is evaluated using the peak signal-to-noise ratio (PSNR) measure and a just noticeable distortion (JND) based perceptual measure.
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