DocumentCode
247293
Title
Noise Prediction Using Rough Set Theory
Author
Kadam, J. ; Thakur, K. ; Sapkal, A.
Author_Institution
Dept. of Electron. & Telecommun. Eng., Coll. of Eng. Pune, Pune, India
fYear
2014
fDate
12-13 Sept. 2014
Firstpage
1
Lastpage
4
Abstract
Image denoising algorithms are proposed assuming specific kind of noise in various applications. No present algorithms includes noise prediction. Prediction of noise create an ease to apply the specific denoising algorithms to produce required result. In this paper, we propose a method to predict the noise present in image using rough set theory. We are predicting whether noise is Gaussian, Salt and Pepper and Speckle from noisy image on the basis of noise distribution. We have used standard MATLAB images as a noisy input and ROSE software for rough set table creation.
Keywords
image denoising; rough set theory; ROSE software; image denoising algorithms; noise distribution; noise prediction; noisy image; rough set theory; standard MATLAB images; Approximation methods; Image denoising; Noise; Noise measurement; Prediction algorithms; Set theory; Speckle;
fLanguage
English
Publisher
ieee
Conference_Titel
Devices, Circuits and Communications (ICDCCom), 2014 International Conference on
Conference_Location
Ranchi
Type
conf
DOI
10.1109/ICDCCom.2014.7024731
Filename
7024731
Link To Document