Color Image Enhancement Using a New Edge-Stopping Function for Anisotropic Diffusion

المجلة: Al-Mansour Journal

سنة النشر: 2010

تاريخ النشر: 2010-01-01

Image enhancement plays an important role in many machine vision applications such as noise smoothing and edge enhancing. Anisotropic diffusion filtering is a popular, and theoretically well understood, technique for denoising images such that it provides smoothing of intra-region areas preferentially over inter-region areas, thereby providing a good prospective tool for removing unwanted noise and preserving the edges of desired objects.

Image Denoising Using a New Edge- Stopping Function for Anisotropic Diffusion

المجلة: Baghdadcollege of Science, University ofproc. Of 3rd scientific conference of college of Science, University of

سنة النشر: 2009

تاريخ النشر: 2009-04-01

Many sensing techniques and image processing applications are characterized by noisy, or corrupted, image data. Anisotropic diffusion is a popular, and theoretically well understood, technique for denoising such images. Anisotropic diffusion filtering provides smoothing of intra-region areas preferentially over inter-region areas, thereby providing a good prospective tool for removing unwanted noise and preserving the edges of desired objects. The behavior of the anisotropic diffusion depends heavily on the choice of the “edge-stopping function”. A new edge–stopping function is proposed for diffusion algorithm which used to improve the performance of the anisotropic diffusion filter. The performance of the anisotropic diffusion filter with the proposed edge-stopping function for denoising is much better compared with the anisotropic diffusion filter using some of the previously employed diffusivity functions. Experiments show that the anisotropic diffusion filter with the proposed function can effectively remove noise from low SNR images with minimum edge blurring