Image denoising and quality measurements by using filtering and wavelet based techniques

An image is often corrupted by noise in its acquisition and transmission by various kinds of noises. Image denoising using thresholding methods find appropriate values (threshold) which separates noise values to actual image values without affecting the significant features of the image. Wavelet tra...

Full description

Saved in:
Bibliographic Details
Published in:International journal of electronics and communications 2014-08, Vol.68 (8), p.699-705
Main Authors: Jaiswal, Ayushi, Upadhyay, Jayprakash, Somkuwar, Ajay
Format: Article
Language:English
Subjects:
Image denoising
Median filter
PSNR
Wavelet Thresholding
Wiener filter
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:An image is often corrupted by noise in its acquisition and transmission by various kinds of noises. Image denoising using thresholding methods find appropriate values (threshold) which separates noise values to actual image values without affecting the significant features of the image. Wavelet transform represents image energy in compact form and representation helps in determining threshold between noisy features and important image feature. In this paper we have worked with denoising of salt–pepper and Gaussian noise. The work is organized in four steps as follows: (1) image is denoised by filtering method, (2) image is denoised by wavelet based techniques using thresholding, (3) hard thresholding and filtering method applied simultaneously on noisy image, (4) results of PSNR (peak signal to noise ratio) and MSE (mean square error) are calculated by comparing all cases.
ISSN:1434-8411
1618-0399
DOI:10.1016/j.aeue.2014.02.003