Fuzzy random impulse noise reduction method

Authors:
Stefan Schulte;Valérie De Witte;Mike Nachtegael;Dietrich Van der Weken;Etienne E. Kerre
Affiliations:
Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Krijgslaan 281 (Building S9), B-9000 Gent, Belgium;Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Krijgslaan 281 (Building S9), B-9000 Gent, Belgium;Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Krijgslaan 281 (Building S9), B-9000 Gent, Belgium;Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Krijgslaan 281 (Building S9), B-9000 Gent, Belgium;Ghent University, Department of Applied Mathematics and Computer Science, Fuzziness and Uncertainty Modelling Research Unit, Krijgslaan 281 (Building S9), B-9000 Gent, Belgium
Venue:
Fuzzy Sets and Systems
Year:
2007

Citing 12
Cited 14

Weighted fuzzy mean filters for image processing

Fuzzy Sets and Systems
Connections between binary, gray-scale and fuzzy mathematical morphologies

Fuzzy Sets and Systems
Adaptive fuzzy switching filter for images corrupted by impulse noise

Pattern Recognition Letters
An intelligent image agent based on soft-computing techniques for color image processing

Expert Systems with Applications: An International Journal
LUM filters: a class of rank-order-based filters for smoothing andsharpening

IEEE Transactions on Signal Processing
Image denoising: a nonlinear robust statistical approach

IEEE Transactions on Signal Processing
Histogram-based fuzzy filter for image restoration

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Decomposing and constructing fuzzy morphological operations over α-cuts: continuous and discrete case

IEEE Transactions on Fuzzy Systems
Noise reduction by fuzzy image filtering

IEEE Transactions on Fuzzy Systems
Tri-state median filter for image denoising

IEEE Transactions on Image Processing
A fuzzy impulse noise detection and reduction method

IEEE Transactions on Image Processing
A fuzzy operator for the enhancement of blurred and noisy images

IEEE Transactions on Image Processing

Designing of a type-2 fuzzy logic filter for improving edge-preserving restoration of interlaced-to-progressive conversion

Information Sciences: an International Journal
Efficient impulse noise reduction via local directional gradients and fuzzy logic

Fuzzy Sets and Systems
Fuzzy peer groups for reducing mixed Gaussian-impulse noise from color images

IEEE Transactions on Image Processing
Geometric features-based filtering for suppression of impulse noise in color images

IEEE Transactions on Image Processing
Some improvements for image filtering using peer group techniques

Image and Vision Computing
A new fuzzy impulse noise detection method for colour images

SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Two-step fuzzy logic-based method for impulse noise detection in colour images

Pattern Recognition Letters
Impulse noise filtering using robust pixel-wise S-estimate of variance

EURASIP Journal on Advances in Signal Processing - Special issue on robust processing of nonstationary signals
Decision-based fuzzy image restoration for noise reduction based on evidence theory

Expert Systems with Applications: An International Journal
A fuzzy filter for the removal of random impulse noise in image sequences

Image and Vision Computing
A new fuzzy-based wavelet shrinkage image denoising technique

ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
Peer group and fuzzy metric to remove noise in images using heterogeneous computing

Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Fuzzy based Impulse Noise Reduction Method

Multimedia Tools and Applications
Fuzzy based diffusion coefficient function in anisotropic diffusion for impulse noise removal

Proceedings of the Eighth Indian Conference on Computer Vision, Graphics and Image Processing

Quantified Score

Hi-index	0.21

Visualization

Abstract

A new two-step fuzzy filter that adopts a fuzzy logic approach for the enhancement of images corrupted with impulse noise is presented in this paper. The filtering method (entitled as Fuzzy Random Impulse Noise Reduction method (FRINR)) consists of a fuzzy detection mechanism and a fuzzy filtering method to remove (random-valued) impulse noise from corrupted images. Based on the criteria of peak-signal-to-noise-ratio (PSNR) and subjective evaluations we have found experimentally, that the proposed method provides a significant improvement on other state-of-the-art methods.