Open AccessImplementation of Novel Image Restoration Technique from High Density Impulse Noise through Adaptive Max-Min Filter
Author(s) -
Mr. A. Sivakumar*,
Mr. M. Shyam,
M Vignesh,
Mrs. J. Yogapriya
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.b7460.129219
Subject(s) - salt and pepper noise , impulse noise , median filter , noise (video) , computer science , image restoration , image noise , artificial intelligence , impulse (physics) , dark frame subtraction , computer vision , image processing , pixel , image (mathematics) , physics , quantum mechanics
Noise is ardent factor that reduces the quality of any system, disturbing the corresponding output. This is very noticeable especially in image processing techniques, wherein the image output is distorted to a very large extent. To reduce the effect of noise and to improve the quality of any image, it is mandatory to completely remove high density salt-and-pepper impulse noise. The salt-and –pepper impulse noise is a major hindrance that has to be eliminated by restoring the image using a specialized method that applies to all noise pixels. Involving edge protection and noise control, significant improves image quality compared to those restored by using just a nonlinear filter. The significant feature of the proposed idea is that removal of salt-and-pepper-noise as high as 95%.is obtained.