A non-linear image denoising method for salt-&-pepper noise removal using Fuzzy-Based approach

Author

Muthukumar, S. ; Raju, G.

Author_Institution

Centre for Inf. Technol. & Eng., Manonmaniam Sundaranar Univ., Tirunelveli, India

fYear

2011

fDate

3-5 Nov. 2011

Firstpage

1

Lastpage

5

Abstract

The paper proposes an Improved Fuzzy-Based Decision Algorithm (IFBDA) for the restoration of images that are highly corrupted by Salt-and-Pepper noise. The new algorithm utilizes a modified version of the detection phase of FBDA to get better image quality than the existing algorithm. The proposed algorithm produces better result than the conventional and other advanced fuzzy-based non-linear filters. Different images have been tested by using the proposed algorithm (IFBDA) and found to produce better Peak-Signal-to-Noise Ratio (PSNR), Structural Similarity Index (SSIM), Image Enhancement Factor (IEF) and Image Quality Index (IQI) values.

Keywords

filtering theory; fuzzy set theory; image denoising; image enhancement; image restoration; nonlinear filters; FBDA detection phase; fuzzy-based nonlinear filters; image enhancement factor values; image quality index values; image restoration; improved fuzzy-based decision algorithm; nonlinear image denoising method; peak-signal-to-noise ratio values; salt-&-pepper noise removal; structural similarity index values; Filtering algorithms; Information filters; Noise; Nonlinear filters; Performance analysis; Decision-based Algorithm; Fuzzy; impulse noise; median filter; salt-and-pepper noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Information Processing (ICIIP), 2011 International Conference on

Conference_Location

Himachal Pradesh

Print_ISBN

978-1-61284-859-4

Type

conf

DOI

10.1109/ICIIP.2011.6108891

Filename

6108891