Application of Stochastic Resonance in Digital Image Filtering

Abstract:

The principle, ideas, procedures and optimization problems of the filtering algorithm were presented in the article. First, the filtering algorithm procedures of aerial image based on stochastic resonance theory was introduced, then the curve of noise strength and peak signal to noise ratio (PSNR) was analyzed, a golden-section fast search algorithm was proposed and discussed as well to find out the maximum point of PSNR in the process of filtering. Experimental results indicate that the filtering method in this article is superior to other methods on high noise strength aerial image, and the stability and robustness are better than other methods . The multiples of filtering image’s PSNR is 1.2~1.4 times than other methods.

• Periodical: Advanced Materials Research (Volumes 616-618)
• Pages: 2072-2075
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.616-618.2072
• Online since: December 2012
• Authors: Yu Xin Zhang, Yu Liu, Hui Da Duan
• Keywords: Algorithm (GA), Image Filtering, PSNR, Stochastic Resonance

References

[1] Hui Sun, Bao Zhang: Ei. Optics and Precision Engineering. Vol. 13-6 (2005), pp.735-740. In Chinese.

[2] Maoheng Sun, Feng Sun: Computer Simulation. Vol. 24-12(2007) , pp.205-207. In Chinese.

[3] Mingzhu Shi, Tingfa Xu and Kun Zhang: Ei. Optics and Precision Engineering.Vol. 19-8(2011), pp.1073-1981. In Chinese.

[4] Yonggang Leng,Taiyong Wang and Ruixin Li, et al. Journal of Tianjin University. Vol.37-6(2004), pp.480-484. In Chinese.

[5] Xueqin Xiang, Yingle Fan and Quan Pang: Journal of Image and Graphics.Vol. 14-1(2009), pp.77-81. In Chinese.