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A region-of-interest method for texturally-rich document image coding

IEEE SIGNAL PROCESSING LETTERS 2004年第11期11卷 912-917页

作者： Yin, XW Downton, AC Fleury, M He, J Univ Essex Dept Elect Syst Engn Colchester CO4 3SQ Essex England

Region-of-interest (ROI) techniques are often utilized to improve coding for detailed regions in natural still-image coding standards such as JPEG2000 [1], but no specific method is stated for determining the ROI map. In this paper, an ROI-based method, in which rectangular regions are extracted using document image analysis (DIA), is proposed specifically for document image coding. These rectangular regions can be efficiently coded using wavelets, and DIA may also be used to distinguish between important and unwanted foreground regions, allowing further coding gains (as illustrated in one of the example documents in the paper). Compared to multilayer methods currently used for document image coding [2], the method is simpler and scalable, while improving visual quality and the peak-signal-to-noise ratio (PSNR).

关键词： document image coding JPEG2000 region-of-interest

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Improving image decomposition method of the 3-MRC coding of scanned compound document images

Improving image decomposition method of the 3-MRC coding of ...

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6th Indian Conference on Computer Vision, Graphics and image Processing

作者： Lakhani, Gopal Texas Tech Univ Lubbock TX 79424 USA

ISBN: (纸本)9781424442195

This paper discusses image decomposition problem of the 3-layer MRC model based coding of scanned (noisy) document images. A widely-used approach for document decomposition is to divide the document image into blocks and split the pixel histogram of each block into two halves by minimizing the sum of variance of its pixels with the mean of the halms. We propose to split a block by minimizing the variance of one half with its minimum pixel and the variance of the other half with its maximum pixel. Our goal is to increase the gap between the two halves by avoiding splitting of any cluster of pixels into both halves. It should help reduce complexity of the generated mask. Moreover, we do not decompose a block if it has no edge points, again to reduce the mask complexity. We also implement a noise reduction heuristic in the mask layer to correct placement of transition pixels. We provide simple analysis and evaluate block energy in terms of the DCT coefficients of the resulting FG/BG layer blocks. Experimental results show that code size of the mask layer of our test images, obtained using proposed processing is reduced to nearly half of the mask obtained by a straightforward 3-MRC implementation.

关键词： document image coding Mixed raster content model mask noise reduction

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