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A Survey on Noise Reduction in Images

Published on August 2016 by Pooja Kumari, Pulkit Chaurasia, Prabhat Kumar
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National Seminar on Future Trends and Innovations in Computer Engineering
Foundation of Computer Science USA
NSFTICE2015 - Number 1
August 2016
Authors: Pooja Kumari, Pulkit Chaurasia, Prabhat Kumar
5873ed7c-a128-4c04-ba1f-f268331a9308

Pooja Kumari, Pulkit Chaurasia, Prabhat Kumar . A Survey on Noise Reduction in Images. National Seminar on Future Trends and Innovations in Computer Engineering. NSFTICE2015, 1 (August 2016), 5-9.

@article{
author = { Pooja Kumari, Pulkit Chaurasia, Prabhat Kumar },
title = { A Survey on Noise Reduction in Images },
journal = { National Seminar on Future Trends and Innovations in Computer Engineering },
issue_date = { August 2016 },
volume = { NSFTICE2015 },
number = { 1 },
month = { August },
year = { 2016 },
issn = 0975-8887,
pages = { 5-9 },
numpages = 5,
url = { /proceedings/nsftice2015/number1/25607-1521/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Seminar on Future Trends and Innovations in Computer Engineering
%A Pooja Kumari
%A Pulkit Chaurasia
%A Prabhat Kumar
%T A Survey on Noise Reduction in Images
%J National Seminar on Future Trends and Innovations in Computer Engineering
%@ 0975-8887
%V NSFTICE2015
%N 1
%P 5-9
%D 2016
%I International Journal of Computer Applications
Abstract

Image processing is processing of images using mathematical operations by using any form of signal processing for which the input is an image such as a photograph or video frame and the output may be either an image or a set of some parameters related to the image. Images quality is often degraded by noises. Noise can occur during image capture, transmission or by film grain in it etc. Noise removal is an important task in image processing. Developing an efficient method of removing noise from digital images before processing them is an essential process in image processing to achieve image enhancement. In the field of image noise reduction, several linear and nonlinear filtering methods have been proposed and various other algorithms were given to improve quality of different images. It is a challenging problem to remove mixed noise in color images. Generally, some image denoising filters can reduce either additive or impulse noise, but they fail to remove both. The bilateral filtering action can simultaneously remove impulsive and additive noise while preserving edge structures. Similarly, Image edge detection is a process of locating the edge of an image which is important in finding the approximate absolute gradient magnitude in gray scale image. The results of the noise removal have a strong impact on the quality of the image processing technique.

References
  1. Vinod Sharma, Deepika Bansal, "A review on digital image enhancement by noise removal", IJIRSET, vol. 4, may 2015
  2. Divya, Dr. Sasikumar, "Noise Removal in Images in the None Subsampled Contourlet Transform DomainUsing Orthogonal Matching Pursuit", IJIRCCE, vol. 3, June 2015.
  3. Shyam Prasad, R. Priya, "Image enhancement with noise reduction in spatial domain", IJARCSSE, vol. 5, Jan 2015.
  4. Tariq Ahmad Lone, Showkat Hassan Malik," A Literature Survey of Image Denoising Techniques in the Spatial Domain", IJARCSSE, vol. 5, Feb 2015.
Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Linear Filter Non-linear Filter Image Denoising Additive Noise Impulse Noise Average Filter Vector Median Filter Bilateral Filter Image Enhancement Mse Psnr