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Compression of binary facsimile images by preprocessing and color shrinking

机译:通过预处理和颜色收缩来压缩二进制传真图像

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摘要

Algorithms for preprocessing, global modeling and segmentation, local modeling and representation, and binary encoding of facsimile images are proposed, and their performance is examined. Some binary morphological operations that can be used to improve the quality and increase the compressibility of binary images and the modeling of binary images are discussed. The techniques are incorporated into a set of comprehensive encoding schemes, the PCSE codes. Their effectiveness in compressing the International Telegraphy and Telephony Consultative Committee (CCITT) binary images is demonstrated. The PCSE code using preprocessing and color shrinking prior to encoding is shown to outperform the READ code by from 7 to 42% for the standard CCITT test images with a very small change in image quality.
机译:提出了预处理,全局建模与分割,局部建模与表示以及传真图像的二进制编码算法,并对其性能进行了研究。讨论了一些可用于提高质量和增加二进制图像可压缩性的二进制形态学操作以及二进制图像的建模。这些技术被合并到一组全面的编码方案中,即PCSE代码。证明了它们在压缩国际电报电话咨询委员会(CCITT)二进制图像中的有效性。对于标准CCITT测试图像,在图像质量变化很小的情况下,在编码之前使用预处理和颜色收缩的PCSE代码表现出比READ代码好7%到42%。

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