Block-based Fast Compression for Compound Images
Block-based Fast Compression for Compound Images
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DOI：
10.1109/icme.2006.262624
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发表时间：
2006-07
期刊：
影响因子：
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通讯作者：
Wenpeng Ding;Dong Liu;Yuwen He;Feng Wu
中科院分区：
文献类型：
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作者：
Wenpeng Ding;Dong Liu;Yuwen He;Feng Wu
针对包含图形、文本和自然图像的复合图像，提出了一种新的基于块的快速压缩算法。采用快速有效的分块分类算法，将图像分成平滑块、文本块、混合块和图片块四种不同的类型。针对不同的数据块类型，根据其不同的统计特性，精心设计了四种不同的编码算法，以最大限度地提高压缩性能。仿真结果表明，我们提出的BFC算法比DjVu算法具有更低的复杂度，在高比特率下具有更好的视觉质量，并且优于流行的有损图像编码方法JPEG
This paper presents a novel block-based fast compression (BFC) algorithm for compound images that contain graphics, text and natural images. The images are divided to blocks, which are classified into four different types - smooth blocks, text blocks, hybrid blocks and picture blocks with a fast and effective block-based classification algorithm. Four different coding algorithms are carefully designed for each block type according to their different statistical properties to maximize the compression performance. Simulations show that the BFC algorithm we propose has much lower complexity than DjVu with significant better visual quality at high bit rate, and it also outperforms the popular lossy image coding method JPEG