Title :
Improving the denoising performance of Perona Malik filter using adaptive edge indicator
Author :
Vasundhara, T. ; Srinivasan, M.
Abstract :
The Perona Malik filter forms the base for various classical diffusion filters. It takes its origin from the heat equation. The images undergo an iterative diffusion process and the noise is removed gradually after each iteration. The basic concept behind various prominent image processing methods like image smoothing, enhancement, denoising etc is mostly based upon PM equation. But the main drawback of the PM diffusion model is the new features appearing in the processed image. In this work the main focus is on alternating between linear and nonlinear smoothing according to the image features. Numerical experiments carried out prove the efficiency of this scheme for edge detection. It also gives better perceptual quality for the processed images in contrast to basic PM or TV model.
Keywords :
edge detection; image denoising; image enhancement; iterative methods; PM diffusion model; Perona Malik filter; TV model; adaptive edge indicator; diffusion filter; edge detection; heat equation; image denoising; image enhancement; image feature; image processing method; image smoothing; iterative diffusion process; Equations; Image edge detection; Image restoration; Mathematical model; Noise; Smoothing methods; TV; anisotropic diffusion; diffusion mode; edge indicator; heat equation;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726831