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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进制图像有效编码方案

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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:本文通过对二进制图像的形态骨架编码进行编码,提出了一种有效的二进制图像无损压缩新方案。计算机仿真表明,通常情况下,所提出的编码方案可显着提高通过最佳的先前已知方案进行骨架编码所获得的编码速率,并且比通过链码,四叉树和游程长度/霍夫曼方法对原始二进制图像进行编码的效率要高得多。 。与现有的扫描双层文档编码标准相比,就压缩效率而言,将建议的算法放在第3组和第4组算法之间。正确实施后,提出的算法速度很快。所提出的方案是基于作者获得的有关形态骨架表示特性的新理论结果。

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