Eun-ju Oh, Hyun-ji Cho, Hoon Yoo, Journal of Internet Computing and Services, Vol. 21, No. 4, pp. 43-49, Aug. 2020
10.7472/jksii.2020.21.4.43, Full Text:
Keywords: Image compression, block-adaptive, lossless data compression, CTW, image processing

Abstract

This paper proposes a lossless image compression method based on arithmetic coding using block-adaptive Context Tree Weighting. The CTW method predicts and compresses the input data bit by bit. Also, it can achieve a desirable coding distribution for tree sources with an unknown model and unknown parameters. This paper suggests the method to enhance the compression rate about image data, especially aerial and satellite images that require lossless compression. The value of aerial and satellite images is significant. Also, the size of their images is huger than common images. But, existed methods have difficulties to compress these data. For these reasons, this paper shows the experiment to prove a higher compression rate when using the CTW method with divided images than when using the same method with non-divided images. The experimental results indicate that the proposed method is more effective when compressing the divided images.

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