A modified anisotropic diffusion with shock filter model for image denoising

作者：Huang Shuying; Yang Yong^*

来源：Journal of Central South University(Science and Technology), 2014, 45(9): 3061-3067.

• Anisotropic Diffusion
• Curvature difference
• Gradient vector flow
• Image denoising methods
• Noise sensitivity
• Ratio of signal to noise
• Shock filters
• Weighted coefficients

To overcome the noise sensitivity problem of the anisotropic diffusion with shock filter (ADSF) in image enhancement, a novel image denoising method was presented, which incorporates gradient vector flow (GVF) into the ADSF model. In the modified ADSF method called GVF-ADSF, the curvature difference was employed to distinguish the image region characteristics, and a weighted coefficient is defined to control the diffusion level of the two filter diffusion terms between the edge area and the flat region. Hence, the image transition area can be naturally smoothed. The denoising performance of the GVF-ADSF method was compared with that of the mean filter, the Perona and Mailk (PM) model, and the conventional ADSF model. The experimental results indicate that the GVF-ADSF method can effectively remove the image noise and retain the image texture better. In addition, the proposed method can get higher the ratio of signal to noise.

• 出版日期2014