An Improved Adaptive Filtering Technique to Remove High Density Salt-and-Pepper Noise using Multiple Last Processed Pixels

An Improved Adaptive Filtering Technique to Remove High Density Salt-and-Pepper Noise using Multiple Last Processed Pixels

Mohammad Imrul Jubair

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Imtiaz Masud Ziko

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Syed Ashfaqueuddin

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Md. Helal Uddin

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An Improved Adaptive Filtering Technique to Remove High Density Salt-and-Pepper Noise using Multiple Last Processed Pixels

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Abstract

This paper presents an efficient algorithm which can remove high density salt-and-pepper noise from corrupted digital image. This technique differentiates between corrupted and uncorrupted pixels and performs the filtering process only on the corrupted ones. The proposed algorithm calculates median only among the noise-free neighborhoods in the processing window and replaces the centre corrupted pixel with that median value. The adaptive behavior is enabled here by expanding the processing window based on neighbourhood noise-free pixels. In case of high density noise corruption where no noise-free neighborhood is found within the maximum size of window, this algorithm takes last processed pixels into the account. While most of the existing filtering techniques use only one last processed pixel after reaching maximum window, the proposed algorithm considers multiple last processed pixels rather than considering a single one so that more accurate decision can be taken in order to replace the corrupted pixel.

References

19 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mohammad Imrul Jubair. 2012. \u201cAn Improved Adaptive Filtering Technique to Remove High Density Salt-and-Pepper Noise using Multiple Last Processed Pixels\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F14).

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GJCST Volume 12 Issue F14

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

adaptive median filter last processed pixels Noise Removal salt-and-pepper noise

Submission ReceivedFebruary 10, 2012
Peer Review Double Blind
Handling Editor
Accepted March 3, 2012
Published March 15, 2012

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v1.2

Issue date

November 24, 2012

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Article Matrices

Total Score: 104

Country: Bangladesh

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Mohammad Imrul Jubair, Imtiaz Masud Ziko, Syed Ashfaqueuddin, Md. Helal Uddin (PhD/Dr. count: 0)

View Count (all-time): 275

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Publish Date: 2012 11, Sat

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Total Views: 10209

Total Downloads: 2672

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