Adaptive denoising for strong noisy images by using positive effects of noise

doi:10.1140/epjp/s13360-021-01693-5

CORC > 兰州理工大学 > 兰州理工大学

	Adaptive denoising for strong noisy images by using positive effects of noise
	Shen, Mengen 1; Yang, Jianhua 1; Sanjuan, Miguel A. F.2,3; Zheng, Yuqiao 4; Liu, Houguang 1
刊名	EUROPEAN PHYSICAL JOURNAL PLUS
	2021-06-28
卷号	136 期号:6
ISSN号	2190-5444
DOI	10.1140/epjp/s13360-021-01693-5
英文摘要	Image denoising is the key step for image preprocessing. In particular, denoising of a strong noisy image is truly necessary, even though it might be difficult. Among the different image denoising methods, stochastic resonance (SR) has the advantage of using the constructive role of noise. However, a traditional bistable system cannot take full advantage of SR. To improve the performance of image denoising by using SR, we use a nonlinear system with a periodic potential to utilize the benefit of noise to a greater extent. Besides, adaptive processing is realized by an optimization algorithm. Compared to the image denoising method by SR in a bistable system, the method by SR in a nonlinear system with a periodic potential (PSR) is much more effective possessing a higher peak signal-to-noise ratio and less computation time. Further, the image denoising method by PSR is also superior to other common methods such as arithmetic mean filter, geometric mean filter, median filter and Wiener filter. The PSR method is effective in removing different types of noise present in images, such as gamma noise, uniform noise, Rayleigh noise, and exponential noise.
WOS研究方向	Physics
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000669615400004
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/148503]
专题	兰州理工大学
作者单位	1.China Univ Min & Technol, Sch Mechatron Engn, Jiangsu Key Lab Mine Mech & Elect Equipment, Xuzhou 221116, Jiangsu, Peoples R China; 2.Univ Rey Juan Carlos, Dept Fis, Nonlinear Dynam Chaos & Complex Syst Grp, Tulipan S-N, Madrid 28933, Spain; 3.Kaunas Univ Technol, Dept Appl Informat, Studentu 50-407, LT-51368 Kaunas, Lithuania; 4.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Shen, Mengen,Yang, Jianhua,Sanjuan, Miguel A. F.,et al. Adaptive denoising for strong noisy images by using positive effects of noise[J]. EUROPEAN PHYSICAL JOURNAL PLUS,2021,136(6).
APA	Shen, Mengen,Yang, Jianhua,Sanjuan, Miguel A. F.,Zheng, Yuqiao,&Liu, Houguang.(2021).Adaptive denoising for strong noisy images by using positive effects of noise.EUROPEAN PHYSICAL JOURNAL PLUS,136(6).
MLA	Shen, Mengen,et al."Adaptive denoising for strong noisy images by using positive effects of noise".EUROPEAN PHYSICAL JOURNAL PLUS 136.6(2021).