Segmentation of compressed documents

R. Queiroz, R. Eschbach
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引用次数: 7

Abstract

We present a novel technique for segmentation of a JPEG-compressed document based on block activity. The activity is measured as the number of bits spent to encode each block. Each number is mapped to a pixel brightness value in an auxiliary image which is then used for segmentation. We introduce the use of such an image and show an example of a simple segmentation algorithm, which was successfully applied to test documents. The desired region can be identified and cropped (or replaced) from the compressed data without decompressing the image.
压缩文档的分割
提出了一种基于块活动的jpeg压缩文档分割新技术。该活动是用编码每个块所花费的比特数来衡量的。每个数字都映射到辅助图像中的像素亮度值,然后用于分割。我们介绍了这种图像的使用,并给出了一个简单的分割算法的例子,该算法成功地应用于测试文档。可以在不解压图像的情况下从压缩数据中识别和裁剪(或替换)所需的区域。
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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