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Impulse denoising using improved progressive switching median filter

Authors:

R. K. Kulkarni,

C. B. Lahoti,

S. MeherAuthors Info & Claims

ICWET '10: Proceedings of the International Conference and Workshop on Emerging Trends in Technology

Pages 586 - 590

https://doi.org/10.1145/1741906.1742041

Published: 26 February 2010 Publication History

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Abstract

In this paper, the algorithm is developed by combining advantages of the median filters for filtration of noisy pixels with noise detection step. The algorithm works well for suppressing impulse noise with noise density ranging from 10 to 70% while preserving image details.

The proposed algorithm is based on the two schemes:-

1) Impulse noise detection scheme and 2) Adaptive filtering scheme. In the beginning, the noisy pixel in the image is detected by Iterative way. Finally, the noise is suppressed by estimating the values of the noisy pixels with a switching based median filter applied exclusively to those neighborhood pixels not labeled as noisy. The size of filtering window is adaptive in nature, and it depends on the number of noise-free pixels in current filtering window. Simulation results prove that the proposed method outperforms other existing Median filters for removing of Impulse noise with preserving image details.

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Cited By

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Sannidhan MMartis JAravinda CBhatnagar R(2023)Correction of an Image for Colour Blindness Using the Fusion of Ishihara Filter and Histogram EqualizationThe 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 202310.1007/978-3-031-27762-7_28(294-304)Online publication date: 1-Mar-2023
https://doi.org/10.1007/978-3-031-27762-7_28
Ono KHanada Y(2014)Assembling bloat control strategies in genetic programming for image noise reduction2014 14th International Conference on Intelligent Systems Design and Applications10.1109/ISDA.2014.7066279(113-118)Online publication date: Nov-2014
https://doi.org/10.1109/ISDA.2014.7066279

Index Terms

Impulse denoising using improved progressive switching median filter
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation

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Information

Published In

ICWET '10: Proceedings of the International Conference and Workshop on Emerging Trends in Technology

February 2010

1070 pages

ISBN:9781605588124

DOI:10.1145/1741906

Program Chair:
B. K. Mishra

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 26 February 2010

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ICWET '10

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UNITECH
AICTE

ICWET '10: International Conference and Workshop on Emerging Trends in Technology

February 26 - 27, 2010

Maharashtra, Mumbai, India

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Cited By

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Sannidhan MMartis JAravinda CBhatnagar R(2023)Correction of an Image for Colour Blindness Using the Fusion of Ishihara Filter and Histogram EqualizationThe 3rd International Conference on Artificial Intelligence and Computer Vision (AICV2023), March 5–7, 202310.1007/978-3-031-27762-7_28(294-304)Online publication date: 1-Mar-2023
https://doi.org/10.1007/978-3-031-27762-7_28
Ono KHanada Y(2014)Assembling bloat control strategies in genetic programming for image noise reduction2014 14th International Conference on Intelligent Systems Design and Applications10.1109/ISDA.2014.7066279(113-118)Online publication date: Nov-2014
https://doi.org/10.1109/ISDA.2014.7066279

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Recommendations

Impulse noise removal by a global-local noise detector and adaptive median filter

Improved Adaptive Median Filter

Priority-based trimmed median filter for removal of high density salt and pepper noise