Journal of Chaohu University ›› 2023, Vol. 25 ›› Issue (6): 93-100.doi: 10.12152/j.issn.1672-2868.2023.06.012
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YUAN Zong-wen,WANG Gen:School of Electronic Engineering, Chaohu University
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Abstract: Traditional fractal image decoding is very fast, and the process is difficult to control. Special applications such as video effects and animation may require a gradual image decoding process. Some scholars have introduced control parameters into compression mapping to slow down the fractal decoding process, but the relationship between control parameters and the peak signal-to-noise ratio (PSNR) of decoded image sequences has not been established. In this paper, a fractal image decoding algorithm based on peak signal-to-noise ratio is proposed, which realizes that the decoding process can be conducted according to the designed peak signal-to-noise ratio sequence, providing options for diverse image decoding applications.
Key words: fractal decoding, compression map, parameter, alternative path, PSNR
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YUAN Zong-wen, WANG Gen. Application of Controllable Compression Map in Image Decoding[J].Journal of Chaohu University, 2023, 25(6): 93-100.
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URL: http://xb.chu.edu.cn/EN/10.12152/j.issn.1672-2868.2023.06.012
http://xb.chu.edu.cn/EN/Y2023/V25/I6/93
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