基于块分割和自适应编码的扫描文档视觉无损压缩

Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205) Pub Date : 2001-10-07 DOI:10.1109/ICIP.2001.958148

Xin Li, S. Lei

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引用次数: 43

摘要

本文提出了一种新的基于块的分割和自适应编码(BSAC)算法，用于对扫描文档进行视觉无损压缩，该文档不仅包含摄影图像，还包含文本和图形图像。对于这样的复合图像源，我们将图像结构成不重叠的块，并根据块内的经验统计量将每个块分为四个不同的类。不同的编码策略应用于不同的类，以达到最佳的压缩性能。我们新的基于块的图像编码器能够以大约1/spl sim/1.5 bpp的比特率提供扫描文档的视觉无损压缩，具有适度的计算复杂性和非常低的内存需求。

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Block-based segmentation and adaptive coding for visually lossless compression of scanned documents

This paper presents a novel block-based segmentation and adaptive coding (BSAC) algorithm for visually lossless compression of scanned documents that contain not only photographic images but also text and graphic images. For such a compound image source, we structure the image into nonoverlapping blocks and classify each block into four different classes based on the empirical statistics within the block. Different coding strategies are applied to different classes in order to achieve the very best compression performance. Our new block-based image coder is able to provide visually lossless compression of scanned documents at the bit rate of around 1/spl sim/1.5 bpp with modest computational complexity and very low memory requirement.

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Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)

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