BTC image coding with visual patterns

Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems Pub Date : 1994-12-05 DOI:10.1109/APCCAS.1994.514628

Tuk Po Chun, B. Zeng, M. L. Liou

引用次数: 4

Abstract

This paper presents a block truncation coding (BTC) scheme for image compression that employs visual patterns designed independently of the image to be coded. In this method, image blocks are first classified into three classes: uniform, gentle edge, and sharp edge, according to their variations. Design focus is on edge blocks, where two sets of patterns, namely, visual patterns and visual row patterns are used. Different quantization is performed on the mean values of each block according to its block type. Experimental results show that the proposed BTC scheme can achieve PSNR about 30 dB at bit rate 0.46/spl sim/0.53 bpp (for the image Lenna of size 512/spl times/512).

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BTC图像编码与视觉模式

本文提出了一种用于图像压缩的块截断编码(BTC)方案，该方案采用独立于待编码图像设计的视觉模式。该方法首先根据图像块的变化情况，将图像块分为均匀边缘、平缓边缘和锐利边缘三类。设计重点是在边缘块上，其中使用了两组模式，即视觉模式和视觉行模式。根据块类型对每个块的均值进行不同的量化处理。实验结果表明，在比特率为0.46/spl sim/0.53 bpp(对于大小为512/spl times/512的图像Lenna)的情况下，所提出的BTC方案可实现约30 dB的PSNR。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of APCCAS'94 - 1994 Asia Pacific Conference on Circuits and Systems

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