Abstract
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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