模糊编码网格量化

D. Gleich, P. Planinsic, Z. Cucej
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引用次数: 0

摘要

本文提出了一种基于嵌入式网格量化和基于模糊上下文建模(TCQFCB)的图像压缩算法。网格编码量化产生的指标采用自适应算术编码,逐位平面进行编码。用模糊逻辑对算术编码器编码符号的概率进行赋值。编码位的概率取决于之前的编码位。使用模糊逻辑是为了赋予编码位的最高可能概率。所提出的方法的性能可与最先进的方法相媲美。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy coded trellis quantization
In this paper we propose an image compression algorithm based on embedded trellis quantization and inventive fuzzy context based modeling (TCQFCB). The indices produced by trellis-coded quantization are adaptively arithmetically coded, bit plane by bit plane. The fuzzy logic is used to assign the probability of the coded symbol for an arithmetic coder. The probability of the coded bit depends on the previous coded bits. The fuzzy logic is used in order to attribute the highest possible probability of the coded bit. The performance of the proposed method is comparable with the state-of-the-art methods.
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