Title :
Effective image noise removal based on difference eigenvalue
Author :
Tian, Haiying ; Cai, Hongmin ; Lai, J.H. ; Xu, Xiaoyin
Author_Institution :
Dept. of Autom., Sun Yat-Sen Univ., Guangzhou, China
Abstract :
Preservation of fine feature of an image is essential during the process of noise removal, especially via some types of smoothing such as using diffusion process-based methods to enhance images. In this paper, we present a new edge indicator called difference eigenvalue to measure image gradient magnitude in the diffusion process. Based on the eigenvalues of the Hessian matrix, the difference eigenvalue manifest itself in terms of structural information of an image. We adapt the new edge indicator to a diffusion model to achieve a better balance between noise removal and detail preservation. Experiments on both synthetic and real images show that the new model can obtain good results and outperforms existing methods.
Keywords :
Hessian matrices; edge detection; eigenvalues and eigenfunctions; image denoising; Hessian matrix; difference eigenvalue; diffusion process; edge indicator; image gradient magnitude; image noise removal; structural information; Adaptation models; Anisotropic magnetoresistance; Eigenvalues and eigenfunctions; Image edge detection; Noise measurement; PSNR; Anisotropic diffusion; Edge indicator; Hessian matrix; Noise reduction;
Conference_Titel :
Image Processing (ICIP), 2011 18th IEEE International Conference on
Conference_Location :
Brussels
Print_ISBN :
978-1-4577-1304-0
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2011.6116392