Random valued impulse noise is the most frequently cause of distortion in natural images. Detection of random valued impulse noise is a little difficult because of its random nature. It is an active area of research and a large number of improvements have been proposed till date. Median filter based techniques are very effective in removal of random valued impulse noise from natural images. Main factors behind the popularity of median filter based technique are simple implementation and significant noise reduction. Lots of improvement in median filter is proposed to tradeoff between image quality and system complexity. This paper presents a review of most significant median filter based image denoising techniques.
Application of median filter in removal of random valued impulse noise from natural images
2017-04-01
278805 byte
Conference paper
Electronic Resource
English
Binarized Switching Median Filter with Pre-Segmentation for Impulse Noise Removal
British Library Conference Proceedings | 2003
|Algorithms for impulse noise removal from corrupted color images
British Library Online Contents | 2007
|