Lossless image coding is a very important technique to efficiently and perfectly reducing image storage and having many application fields such as: medical images, seismic data, digital archives and digital documentations. In this paper, we present a new approach of a lossless binary image coding which combines two coding process. The first one is based a neighbourhood code reduction which transforms binary image into a proper mapping representation. The second one uses arithmetic coding which produces bitstream with a good compression ratio. The performance of the algorithm is tested on different binary images that contain Arabic letters and compared to some algorithms such as LZW and CCITT Group 4.
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机译：无损图像编码是一种非常重要的技术，可以有效，完美地减少图像存储，并具有许多应用领域，例如：医学图像，地震数据，数字档案和数字文档。在本文中，我们提出了一种新的无损二进制图像编码方法，该方法结合了两种编码过程。第一个基于邻域代码缩减，该缩减将二进制图像转换为适当的映射表示。第二种使用算术编码，该算术编码产生具有良好压缩率的比特流。该算法的性能在包含阿拉伯字母的不同二进制图像上进行了测试，并与LZW和CCITT Group 4等某些算法进行了比较。
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