Remove regular noise from gray digital images using spatial filters | ||
| Journal of Education and Science | ||
| Article 24, Volume 27, Issue 1, January 2018, Pages 169-179 PDF (963.48 K) | ||
| DOI: 10.33899/edusj.2014.162140 | ||
| Author | ||
| Alhan Al-Saffar | ||
| 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. | ||
| Keywords | ||
| regular noise; gray digital; salt-and – pepper | ||
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