信息矩阵与图像压缩

22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003 Pub Date : 2003-07-24 DOI:10.1109/NAFIPS.2003.1226769

Chongfu Huang

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引用次数: 0

摘要

本文引入了一种新的模糊技术——信息矩阵来压缩图像。该模糊技术压缩速度快，对任意原始图像的压缩比都在50%以上，重建图像的质量虽然与原始图像不完全相同，但也很好。本文给出了两个例子来说明压缩比和重建图像的质量。一个是有100个点的曲线。我们用20条规则压缩这个图像。压缩比为79%。另一幅是有花的彩色画。压缩比为50%。

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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Information matrix and image compression

In this paper, we introduce a new fuzzy technique, information matrix, to compress images. With high compression speed, this fuzzy technique has compression ratio more than 50% for any original image and the reconstructed image quality is good, although not exactly as the same as the original image. In this paper we give two examples to show the compression ratio and the reconstructed image quality. One is a curve with 100 points. We compress this image with 20 rules. The compression ratio is 79%. Another is a colour picture with flowers. The compression ratio is 50%.

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22nd International Conference of the North American Fuzzy Information Processing Society, NAFIPS 2003

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