Image denoising based on noise detection

2017 International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Jiang, Yuanxiang^1 ; Yuan, Rui^1 ; Sun, Yuqiu^1 ; Tian, Jinwen^2

School of Information and Mathematics, Yangtze University, Jingzhou, Hubei, China^1

School of Automation, Huazhong University of Science and Technology, Wuhan, Hubei, China^2

关键词: De-noising;    De-noising algorithm;    Evaluation parameters;    Fractional calculus;    Gradient detection;    Gradient masks;    Noise detection;    Visual effects;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/322/7/072050/pdf
DOI  :  10.1088/1757-899X/322/7/072050

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Because of the noise points in the images, any operation of denoising would change the original information of non-noise pixel. A noise detection algorithm based on fractional calculus was proposed to denoise in this paper. Convolution of the image was made to gain direction gradient masks firstly. Then, the mean gray was calculated to obtain the gradient detection maps. Logical product was made to acquire noise position image next. Comparisons in the visual effect and evaluation parameters after processing, the results of experiment showed that the denoising algorithms based on noise were better than that of traditional methods in both subjective and objective aspects.