A Region-Information Based Approach for Removing Gauss Noise of Image
A weighted fuzzy mean filter for the removal of additive impulse noise is proposed in this paper.The weighted coefficients are membership function that carried information of original image.Meanwhile,the filter adopts different method of image restoration in the light of divergence of image region character.Similar to conventional filters,new filter has the benefits that it is simple and quick.Relative to neuro-fuzzy filters,it doesnt need training and learning time.Experimental result shows that the filter gives superior performance compared with conventional filters and other fuzzy filter.
weighted fuzzy mean filter gauss noise region information image restoration fuzzy parameter
Zhilin Zhu
School of Information and Electronic Engineering Shandong Institute of Business and Technology Yantai,China
国际会议
太原
英文
234-237
2011-02-26（万方平台首次上网日期，不代表论文的发表时间）