A novel adaptive image zooming method based on nonlocal Cahn-Hilliard equation.

Knowledge-Based Systems(2019)

引用 1|浏览15
暂无评分
摘要
Recently, nonlocal operator has become a very hot topic in image processing. For nonlocal partial differential equations (PDEs) methods, almost existed models are based on second order. In this paper, a novel image zooming method based on nonlocal fourth-order PDEs is proposed. The proposed method comprehensively utilizes the characteristic of the higher order PDEs-Cahn–Hilliard equation and the nonlocal operator. Higher order PDEs can well alleviate blocking artifacts and decrease the influence of the noise, and the nonlocal operator has a good performance on texture preserving and can reduce Gaussian noise. In the proposed model, a control parameter is introduced, which can control the speed of the model diffusion. Experimental results show that the proposed method has a good ability for de-noising and texture preserving.
更多
查看译文
关键词
Nonlocal operator,Cahn–Hilliard equation,Fourth-order,Texture preserving
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要