Open AccessAn Accession for Image Denoising by Multiple Filter and Correlative Examination for Random Impulse Noise
Author(s) -
Shridevi Soma*,
Jyoti S.G.
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c3936.098319
Subject(s) - median filter , impulse noise , noise reduction , artificial intelligence , computer science , non local means , salt and pepper noise , computer vision , filter (signal processing) , video denoising , noise (video) , adaptive filter , mathematics , step detection , pattern recognition (psychology) , pixel , image processing , image denoising , image (mathematics) , algorithm , video processing , video tracking , multiview video coding
Denoising an image is a significant problem in the processing of digital images. Any impulse noise damages the image and the aim of denoising is to remove noise and restore the high-quality image as much as possible. This paper aims to develop a method to discriminate between corrupted and uncorrupted pixels and develop a novel filter to denoise the image. It is also necessary to consider images with different level of noise of various applications to develop an optimal system to remove the noise for further processing. In this paper different filtering techniques such as Median-Filter (MF), Weighted -Median-Filter (WMF),Centre-Weighted Median filter (CWMF), and adaptive centre weighted median filter (ACWMF) are used for denoising, also a novel filter Asymmetric Trimmed Median Filter(ATMF) is designed which outperforms compared to the filters designed earlier. Experimentation is carried by considering the dataset size of 700 noisy images. The average PSNR value of proposed system is 28.12%(DB).