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Recursive Chain Coding Method for Lossless Digital Image Compression

机译:无损数字图像压缩的递归链编码方法

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摘要

Image compression addresses the problem of reducing the amount of data required to represent a digital image. Digital images require large amounts of memory to store and, when retrieved from the internet, can take a considerable amount of time to download. In this paper, the authors propose a new approach to image compression using chain coding which traces contours present in the image. The novelty and better compression ratio of the method is due to its recursiveness in tracing the contours. The proposed method starts with the original image and develop chain codes in a recursive manner, marking the pixels visited earlier and expanding the entropy in eight directions. The proposed method is experimented with sample bitmap images and results are compared with Recursive Crack Coding. The method is implemented in uni-processor machine using C language source code.
机译:图像压缩解决了减少代表数字图像所需的数据量的问题。数字图像需要大量存储空间才能存储,从互联网上检索时,可能需要花费大量时间才能下载。在本文中,作者提出了一种使用链式编码的图像压缩新方法,该方法可跟踪图像中出现的轮廓。该方法的新颖性和更好的压缩率归因于其在跟踪轮廓时的递归性。所提出的方法从原始图像开始,以递归方式开发链码,标记较早访问的像素,并在八个方向上扩展熵。将该方法与样本位图图像进行了实验,并将结果与​​递归裂纹编码进行了比较。该方法是在单处理器机器中使用C语言源代码实现的。

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