Remove regular noise from gray digital images using spatial filters

Section: Article
Published
Mar 1, 2014
Pages
169-179

Abstract

Noise is any undesired information that contaminates an image. Noise appears in images from a variety of sources such as errors in transmission data or camera, etc.In typical images the noise can be modeled with either a Gaussian, salt-and pepper, or uniform distribution, Image filtering is a technique to preserve important image elements such as edges, smoothing the details of the images to make images appear clear and sharpener. in proposed work, a simple, fast technique is given to remove Gaussian noise with (different values) of an gray image by using some spatial filters such as: Arithmetic Mean Filter, Geometric Mean filter, and Harmonic Mean filter. Matlab system 7.0 is used to programmed this research.

Download this PDF file

Statistics

Downloads

Download data is not yet available.

How to Cite

[1]
A. Al-Saffar, “Remove regular noise from gray digital images using spatial filters”, JES, vol. 27, no. 1, pp. 169–179, Mar. 2014.