A Novel Improved Median Filter for Salt-and-Pepper Noise from Highly Corrupted Images
- Changhong Wang, Taoyi Chen, Zhenshen Qu
- in proc. Systems and Control in Aeronautics and…
This paper proposes a N<inf>8</inf>(p) detail preserving adaptive filter for impulse noise removal. Impulse noise degrade the digital images due to which these images cannot be used for high level processing. Thus, image restoration becomes important. In this paper an effective and efficient method of impulse noise removal is proposed which not only removes noise but also preserves image details. The algorithm first classifies all the pixels as noise and noise free based on its N<inf>8</inf>(p) neighbours using averaging parameters introduced here and then replaces the noise pixels by the adaptive median of the pixel. The algorithm uses adaptive median as it provides better denoising and since the proposed algorithm performs prior classification of pixels as noise and noise free this preserves image details.