International Journal of Applied Mathematics and Machine LearningAuthor's: Jianqiang Gao and Srinivas Nowduri
Pages: [53] - [66]
Received Date: April 27, 2017
Submitted by:
DOI: http://dx.doi.org/10.18642/ijamml_7100121824
The image denoising is the fundamental problem in the field of image processing. The denoising algorithm of image is most commonly designed for removal of both impulsive noise and Gaussian noise. In image denoising process, impulsive noise (salt and pepper noise and random valued impulsive noise) is a most common noise which affects the image quality during image acquisition, transmission, reception or storage. Many classical denoising techniques have evolved over the years, such as mean filter, median filter, and morphological filter. In this paper, a novel dynamic non-local means algorithm has been proposed for monochrome image processing. The experimental results will confirm that proposed method yields the better performance in terms of peak signal to noise ratio (PSNR).
image denoising, salt and pepper noise, non-local means filter.
