An Adaptive Complex Diffusion Image Denoising Method

被引：0
|
作者：
Jiang, Hua [1 ]
Sun, Xing-Bo [1 ]
机构：
[1] Sichuan Univ Sci & Engn, Zigong 643000, Sichuan, Peoples R China
来源：
INTERNATIONAL CONFERENCE ON CONTROL ENGINEERING AND AUTOMATION (ICCEA 2014) | 2014年
关键词：
Complex Diffusion; Diffusion function; Iterative Step; Image Denoising; EDGE-DETECTION; ENHANCEMENT;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Through discussion of the characteristics of complex diffusion, a novel adaptive complex diffusion algorithm based on diffusion parameter k and iterative step Delta t is proposed in this paper. This new algorithm uses the gradient information of image real part to control the diffusion strength and iterative step to achieve better denoising effect in less diffusion time. Numerical experiments results show that this algorithm can remove the noise while preserving more image details and gain higher peak signal noise ratio in a shorter time.
引用
收藏
页码：753 / 758
页数：6
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