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An efficient coding scheme for binary images based on the morphological skeleton representation

机译:基于形态骨架表示的二元图像有效编码方案

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This paper presents a new efficient scheme for lossless compression of binary images, by coding their morphological skeleton representation. Computer simulations indicate that, typically, the proposed coding scheme significantly improves the coding rates obtained by the best previously known schemes for skeleton coding, and is substantially more efficient than coding the original binary image by chain code, quadtree and run-length/Huffman methods. Comparison to existing coding standards for scanned bilevel documents places the proposed algorithm between the Group 3 and Group 4 algorithms, in terms of compression efficiency. The proposed algorithm is fast, when properly implemented. The proposed scheme is based on new theoretical results obtained by the authors concerning properties of the morphological skeleton representation.
机译:本文通过编码其形态骨架表示提出了一种用于二元图像无损压缩的新高效方案。计算机模拟表明,通常,所提出的编码方案显着提高了通过用于骨架编码的最佳先前已知的方案获得的编码率,并且比通过链代码,Quadtree和运行长度/霍夫曼方法编写原始二进制图像的基本更有效。与扫描的贝韦尔文档的现有编码标准的比较将组3和第4组算法之间的所提出的算法在压缩效率方面的比较。当正确实现时,所提出的算法很快。该拟议方案基于由作者获得的新的理论结果,了解了形态骨架代表性的性质。

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