Artifact reduction with diffusion preprocessing for image compression

Ivan Kopilovic; Tamas Sziranyi

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Artifact reduction with diffusion preprocessing for image compression

机译：Artifact reduction with diffusion preprocessing for image compression

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摘要

We evaluate a preprocessing method for image compression artifact reduction based on nonlinear diffusion filtering that we proposed earlier. The method consists of using edge-adaptive diffusion processes before the discrete cosine transform (DCT)-JPEG compression. By using a simple measure for artifact reduction, we show that considerable artifact reduction is achieved with preprocessing at the same bit rate as, and with no greater error than, the original compression. We also show that preprocessing helps to preserve the true contours for image processing applications. An automatic parameter selection for the preprocessing is also proposed, considering the edge histogram of the image and depending on the compression ratio. We test the method for visual quality with extensive subjective measurements. We show that, depending on the image content, preprocessing can significantly improve the visual quality at low bit rates.

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来源
《Optical Engineering》 |2005年第2期|027003-1-027003-14-0|共14页
作者
Ivan Kopilovic; Tamas Sziranyi;
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作者单位

University of Konstanz Department of Computer and Information Science Fach M 697 D-78457 Konstanz, Germany;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
关键词
image compression; compression artifact; scale space; anisotropic diffusion; subjective quality; preprocessing; contour validity;

Artifact reduction with diffusion preprocessing for image compression

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