Image smoothing via adaptive fourth-order partial differential equation model

The Journal of Engineering

Lina Jia¹  Na Wang¹  Yan Chen¹  Linhong Yao¹  Zhiguo Gui¹  Quan Zhang¹ 

[1] Shanxi Provincial Key Laboratory for Biomedical Imaging and Big Data, North University of China;

关键词: edge detection;    image denoising;    image restoration;    partial differential equations;    smoothing methods;    image filtering;    image texture;    image smoothing;    coherence-enhancing diffusion filter;    adaptive edge-stopping function;    tansig function;    staircase effects;    edge blurring;    matlab simulation;    you-kaveh model;    yk model;    pde;    adaptive fourth-order partial differential equation model;   

DOI  :  10.1049/joe.2018.5443

来源: DOAJ

【 摘 要 】

To overcome the staircase effects and simultaneously avoid edge blurring, here the authors proposed a novel algorithm of adaptive fourth-order partial differential equation (PDE) for image smoothing. The proposed method is based on You and Kaveh (YK) model that first performs a pre-processing using coherence-enhancing diffusion filter before the smoothing. Then, the authors select an adaptive edge-stopping function founded on the Tansig function to effectively remove the noise and insignificant details without destruction of important edges and textures in the image. MATLAB simulation results validate the efficiency of the proposed model quantitatively and visually, when compared with other state-of-the-art methods.

【 授权许可】

Unknown