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Adaptive processing and archiving of compound scanned documents

机译:复合扫描文档的自适应处理和归档

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In the paper is presented one new approach for adaptive processing and compression of images of scanned documents, which contain text and pictures. In order to achieve high compression with maximum retained quality, the document content is analyzed and two corresponding regions of interest are set. Then, each region is processed as follows: the text - with lossless and the picture - with lossy compression. The lossy compression is based on the Inverse Pyramid Decomposition, and for the lossless compression is used the adaptive run-length coding method. The quality of the pictures in the restored document is visually lossless, while the text is unchanged. The overall compression efficiency surpasses that of the JPEG 2000 standard for same images. In the paper are presented the basic principles of the Inverse pyramid decomposition and are included some experimental results and comparison with JPEG 2000.
机译:本文提出了一种新的方法,用于自适应处理和压缩包含文本和图片的扫描文档的图像。为了获得最大保留质量的高压缩率,需要分析文档内容并设置两个相应的关注区域。然后,按以下方式处理每个区域:具有无损压缩的文本和具有无损压缩的图片。有损压缩基于逆金字塔分解,并且针对无损压缩使用自适应游程长度编码方法。恢复的文档中图片的质量在视觉上是无损的,而文本则保持不变。对于相同的图像,总体压缩效率超过JPEG 2000标准。本文介绍了逆金字塔分解的基本原理,并包括一些实验结果和与JPEG 2000的比较。

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