Open AccessImage Denoising Based on Wavelet Transform using Visu Thresholding Technique
Author(s) -
Pushpa Koranga,
Garima Singh,
Dikendra Verma,
Shshank Chaube,
Anuj Kumar,
Sangeeta Pant
Publication year - 2018
Publication title -
international journal of mathematical, engineering and management sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.228
H-Index - 10
ISSN - 2455-7749
DOI - 10.33889/ijmems.2018.3.4-032
Subject(s) - thresholding , wavelet , artificial intelligence , wavelet transform , noise reduction , non local means , pattern recognition (psychology) , image (mathematics) , mathematics , mean squared error , peak signal to noise ratio , noise (video) , image quality , computer science , computer vision , image denoising , statistics
The image often contains noises due to several factors such as a problem in devices or due to an environmental problem etc. Noise is mainly undesired information, which degrades the quality of the picture. Therefore, image denoising method is adopted to remove the noises from the degraded image which in turn improve the quality of the image. In this paper, image denoising has been done by wavelet transform using Visu thresholding techniques for different wavelet families. PSNR (Peak signal to noise ratio) and RMSE (Root Mean Square Error) value is also calculated for different wavelet families.