Wavelet-Based Image Denoising Using Interval Type-2 Fuzzy Sets and Adaptive Multilevel Soft Threshold

Author

Agrawal, Utkarsh ; Roy, Soumava Kumar ; Tiwary, U.S.

Author_Institution

Dept. of Inf. Technol., IIIT-Allahabad, Allahabad, India

fYear

2014

Firstpage

150

Lastpage

153

Abstract

Successful implementation of type-1 Fuzzy Systems (FS) in diverse application areas have been accomplished till date. Nonetheless type-1 FS are not able to handle significant amount of uncertainties present in dynamic real world applications. An improved performance against these uncertainties is achieved by type-2 FS. In this paper, a type-2 FS is proposed to remove variable gaussian noise from a number of images using multilevel two dimensional wavelet transform and multilevel soft threshold. We have displayed that the proposed type-2 FS achieve a good efficiency in removing the noise from the wavelet transformed images and also has a superior performance compared to type-1 FS.

Keywords

Gaussian noise; fuzzy set theory; fuzzy systems; image denoising; image segmentation; wavelet transforms; adaptive multilevel soft threshold; interval type-2 fuzzy set; multilevel two-dimensional wavelet transform; type-1 FS; type-1 fuzzy system; type-2 FS; variable gaussian noise; wavelet-based image denoising; Fuzzy sets; Noise; Noise reduction; Standards; Uncertainty; Wavelet coefficients; Adaptive Multilevel Soft Threshold; Footprint of uncertainty; Interval Type-2 Fuzzy System; Type-1 Fuzzy System;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing and Machine Intelligence (ISCMI), 2014 International Conference on

Type

conf

DOI

10.1109/ISCMI.2014.31

Filename

7079373