article

Improved bilateral filter for suppressing mixed noise in color images

Authors:

Hong LiuAuthors Info & Claims

Digital Signal Processing, Volume 22, Issue 6

Pages 903 - 912

https://doi.org/10.1016/j.dsp.2012.06.012

Published: 01 December 2012 Publication History

Abstract

It is a challenging problem to suppress mixed noise in color images. The traditional bilateral filter can excellently reduce additive noise without destroying image edges and details, but it fails to remove impulsive noise. This paper presents an improved bilateral filtering method, which can simultaneously suppress both impulsive and additive noise. The proposed solution first introduces a new weighting function to the bilateral filtering mechanism, which is experimentally more effective than the traditional Gaussian kernel. Then, either the current pixel or the vector median, instead of always the current pixel itself, is chosen as the base to take part in the bilateral filtering action, which is determined by whether the current pixel is a possible impulse or not. The experimental results show that the proposed solution can simultaneously remove impulsive and additive noise while preserving edge structures, and outperforms other vector filtering methods in terms of both objective evaluation and subjectively visual quality.

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Cited By

Malinski LSmolka B(2020)Self-tuning fast adaptive algorithm for impulsive noise suppression in color imagesJournal of Real-Time Image Processing10.1007/s11554-019-00853-217:4(1067-1087)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s11554-019-00853-2
Ben Gharsallah MBen Braiek E(2020)Computer aided manufacturing method for surface silicon steel inspection based on an efficient anisotropic diffusion algorithmJournal of Intelligent Manufacturing10.1007/s10845-020-01601-132:4(1025-1041)Online publication date: 3-Jun-2020
https://dl.acm.org/doi/10.1007/s10845-020-01601-1
Jin LJin MZhu ZSong E(2018)Color image sharpening based on local color statisticsMultidimensional Systems and Signal Processing10.1007/s11045-017-0532-629:4(1819-1837)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s11045-017-0532-6
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Improved bilateral filter for suppressing mixed noise in color images
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Published In

cover image Digital Signal Processing

Digital Signal Processing Volume 22, Issue 6

December, 2012

320 pages

ISSN:1051-2004

Issue’s Table of Contents

Copyright © Elsevier Inc. © 2012.

Publisher

Academic Press, Inc.

United States

Publication History

Published: 01 December 2012

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Cited By

Malinski LSmolka B(2020)Self-tuning fast adaptive algorithm for impulsive noise suppression in color imagesJournal of Real-Time Image Processing10.1007/s11554-019-00853-217:4(1067-1087)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s11554-019-00853-2
Ben Gharsallah MBen Braiek E(2020)Computer aided manufacturing method for surface silicon steel inspection based on an efficient anisotropic diffusion algorithmJournal of Intelligent Manufacturing10.1007/s10845-020-01601-132:4(1025-1041)Online publication date: 3-Jun-2020
https://dl.acm.org/doi/10.1007/s10845-020-01601-1
Jin LJin MZhu ZSong E(2018)Color image sharpening based on local color statisticsMultidimensional Systems and Signal Processing10.1007/s11045-017-0532-629:4(1819-1837)Online publication date: 1-Oct-2018
https://dl.acm.org/doi/10.1007/s11045-017-0532-6
Shahdoosti HHazavei S(2018)Combined ripplet and total variation image denoising methods using twin support vector machinesMultimedia Tools and Applications10.1007/s11042-017-4618-977:6(7013-7031)Online publication date: 1-Mar-2018
https://dl.acm.org/doi/10.1007/s11042-017-4618-9
Bhandari AKumar DKumar ASingh G(2016)Optimal sub-band adaptive thresholding based edge preserved satellite image denoising using adaptive differential evolution algorithmNeurocomputing10.1016/j.neucom.2015.09.079174:PB(698-721)Online publication date: 22-Jan-2016
https://dl.acm.org/doi/10.1016/j.neucom.2015.09.079
Malinski LSmolka B(2016)Fast averaging peer group filter for the impulsive noise removal in color imagesJournal of Real-Time Image Processing10.1007/s11554-015-0500-z11:3(427-444)Online publication date: 1-Mar-2016
https://dl.acm.org/doi/10.1007/s11554-015-0500-z
Chou HHsu L(2015)A noise-ranking switching filter for images with general fixed-value impulse noisesSignal Processing10.1016/j.sigpro.2014.07.015106:C(198-208)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1016/j.sigpro.2014.07.015

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