Wavelet-domain iterative center weighted median filter for image denoising

Authors:
S. M. Mahbubur Rahman;Md. Kamrul Hasan
Affiliations:
Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh;Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka 1000, Bangladesh
Venue:
Signal Processing
Year:
2003

Citing 7
Cited 6

Spatially adaptive statistical modeling of wavelet image coefficients and its application to denoising

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 06
Image denoising via wavelet-domain spatially adaptive FIR Wiener filtering

ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 04
Wavelet-based statistical signal processing using hidden Markovmodels

IEEE Transactions on Signal Processing
De-noising by soft-thresholding

IEEE Transactions on Information Theory
Spatially adaptive wavelet thresholding with context modeling for image denoising

IEEE Transactions on Image Processing
Adaptive wavelet thresholding for image denoising and compression

IEEE Transactions on Image Processing
Information-theoretic analysis of interscale and intrascale dependencies between image wavelet coefficients

IEEE Transactions on Image Processing

Spatial adaptive Bayesian wavelet threshold exploiting scale and space consistency

Multidimensional Systems and Signal Processing
A mixed noise image filtering method using weighted-linking PCNNs

Neurocomputing
Adaptive wavelet threshold for image denoising by exploiting inter-scale dependency

ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Wavelet-based CR image denoising by exploiting inner-scale dependency

ICIC'07 Proceedings of the intelligent computing 3rd international conference on Advanced intelligent computing theories and applications
Noise reduction of cDNA microarray images using complex wavelets

IEEE Transactions on Image Processing
Directionlet-based denoising of SAR images using a Cauchy model

Signal Processing

Quantified Score

Hi-index	0.08

Visualization

Abstract

A new median filter termed as the iterative center weighted median filter (ICWMF) in the wavelet coefficient domain is proposed for image denoising. Exploiting both inner- and inter-scale dependencies of the image wavelet coefficients, an improved estimation of the variance field is obtained using the proposed filter. This filter iteratively smoothes the noisy wavelet coefficients' variances preserving the edge information contained in the large magnitude wavelet coefficients. The variance field estimated using the ICWMF is then used in a minimum mean-square error estimator to denoise the noisy image wavelet coefficients. Simulation results show that higher peak-signal-to-noise ratio can be obtained as compared to other recent image denoising methods.