A Novel Algorithm of Image Denoising Based on the Grey Absolute Relational Analysis
The paper presents a novel image denoising algorithm based on grey absolute relational analysis of grey system theory. The time of applying grey system theory into noise reduction is not very long, and there are some imperfections left to be Improved We analyze the classic filter based on the grey relational analysis, and propose a novel approach to design the reference sequence, which may be more closer to the true value of the central pixel in the window. Note that there are noise whose value are not very little existing in the filter window around the central pixel, and we improve the decision-making method of grey absolute relational coefficients which are the weight of each pixel in the window. The last procedure of measures we have taken is adopting the continuity in time and direction or position among the image pixels between the last filter window and the next one, which can decrease noise in the neighborhoods of the filter window. Compared with other popular filters, such as the traditional mean filter, the median filter, and the adaptive added-weigh mean filter based on the grey relational degree, the experimental results show that our method is more effective and feasible because it can keep the details of images while eliminating the noise.
Gang Li Xinping Xiao Yufeng Gui
School of Science, Wuhan University of Technology,Wuhan, CO 430063 China School of Science, Wuhan University of Technology, CO 430063, Wuhan, China School of Science, Wuhan University of Technology, Wuhan, CO 430063, China
国际会议
2009 IEEE International Conference on Grey System and Intelligent Services(2009 IEEE灰色系统与服务科学国际会议)
南京
英文
181-185
2009-10-20（万方平台首次上网日期，不代表论文的发表时间）