Aapplication of image compression technology based on local change rate in image printing

ZhiYu Huang; LuYao Li; LiKun Lu; Yeli Li; Qingtao Zeng; Weichun Yang

doi:10.1117/12.2671487

16 March 2023 Aapplication of image compression technology based on local change rate in image printing

ZhiYu Huang, LuYao Li, LiKun Lu, Yeli Li, Qingtao Zeng, Weichun Yang

Proceedings Volume 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022); 125930A (2023) https://doi.org/10.1117/12.2671487
Event: 2nd Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 2022, Guangzhou, China

Abstract

A predictive coding algorithm for image lossless compression is introduced. In the prediction stage, the algorithm uses the local change rate of the pixel value to adjust the prediction model adaptively, and in the coding stage, the error feedback technology is used to further reduce the information entropy of the error image. The simulation test results on standard images show that the performance of the algorithm is significantly better than the standard lossless compression algorithm. The compression algorithm we proposed uses the local change rate of the image in the decorrelation phase to improve the prediction accuracy, and in the coding phase, the algorithm uses error feedback technology to further reduce the error.

Citation Download Citation

ZhiYu Huang, LuYao Li, LiKun Lu, Yeli Li, Qingtao Zeng, and Weichun Yang "Aapplication of image compression technology based on local change rate in image printing", Proc. SPIE 12593, Second Guangdong-Hong Kong-Macao Greater Bay Area Artificial Intelligence and Big Data Forum (AIBDF 2022), 125930A (16 March 2023); https://doi.org/10.1117/12.2671487

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