A hybrid logarithmic gradient algorithm for poisson noise removal in medical images

This paper proposes a Poisson noise removal filter consisting of a modified gradient algorithm. Square of each pixel is subtracted from the center pixel of a 3x3 window. All gradient values are log added and then square root is taken. Bias reduction is done using log value of central pixel. The meth...

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Main Authors: Khursheed, Shahzad, Khaliq, Amir A, Shah, Jawad Ali, Abdullah, Suheel, Khan, Sheroz
Format: Article
Language:English
Published: Hikari Ltd 2014
Subjects:
Online Access:http://irep.iium.edu.my/41573/
http://irep.iium.edu.my/41573/
http://irep.iium.edu.my/41573/1/P3.pdf
id iium-41573
recordtype eprints
spelling iium-415732015-02-13T08:17:57Z http://irep.iium.edu.my/41573/ A hybrid logarithmic gradient algorithm for poisson noise removal in medical images Khursheed, Shahzad Khaliq, Amir A Shah, Jawad Ali Abdullah, Suheel Khan, Sheroz T Technology (General) This paper proposes a Poisson noise removal filter consisting of a modified gradient algorithm. Square of each pixel is subtracted from the center pixel of a 3x3 window. All gradient values are log added and then square root is taken. Bias reduction is done using log value of central pixel. The method is applied on Lena image and then on some biomedical images. Recovery results show that the proposed logarithmic gradient method is computationally simple and better visually. Proposed algorithm results are also better in terms of correlation, Structural Similarity (SSIM) index and Mean Square Error (MSE). The findings have potential for applications in biomedical image diagnostics. Hikari Ltd 2014 Article PeerReviewed application/pdf en http://irep.iium.edu.my/41573/1/P3.pdf Khursheed, Shahzad and Khaliq, Amir A and Shah, Jawad Ali and Abdullah, Suheel and Khan, Sheroz (2014) A hybrid logarithmic gradient algorithm for poisson noise removal in medical images. Advanced Studies in Biology, 6 (4). pp. 181-192. ISSN 1313-9495 (P) http://www.m-hikari.com/asb/asb2014/asb1-4-2014/khursheedASB1-4-2014.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
topic T Technology (General)
spellingShingle T Technology (General)
Khursheed, Shahzad
Khaliq, Amir A
Shah, Jawad Ali
Abdullah, Suheel
Khan, Sheroz
A hybrid logarithmic gradient algorithm for poisson noise removal in medical images
description This paper proposes a Poisson noise removal filter consisting of a modified gradient algorithm. Square of each pixel is subtracted from the center pixel of a 3x3 window. All gradient values are log added and then square root is taken. Bias reduction is done using log value of central pixel. The method is applied on Lena image and then on some biomedical images. Recovery results show that the proposed logarithmic gradient method is computationally simple and better visually. Proposed algorithm results are also better in terms of correlation, Structural Similarity (SSIM) index and Mean Square Error (MSE). The findings have potential for applications in biomedical image diagnostics.
format Article
author Khursheed, Shahzad
Khaliq, Amir A
Shah, Jawad Ali
Abdullah, Suheel
Khan, Sheroz
author_facet Khursheed, Shahzad
Khaliq, Amir A
Shah, Jawad Ali
Abdullah, Suheel
Khan, Sheroz
author_sort Khursheed, Shahzad
title A hybrid logarithmic gradient algorithm for poisson noise removal in medical images
title_short A hybrid logarithmic gradient algorithm for poisson noise removal in medical images
title_full A hybrid logarithmic gradient algorithm for poisson noise removal in medical images
title_fullStr A hybrid logarithmic gradient algorithm for poisson noise removal in medical images
title_full_unstemmed A hybrid logarithmic gradient algorithm for poisson noise removal in medical images
title_sort hybrid logarithmic gradient algorithm for poisson noise removal in medical images
publisher Hikari Ltd
publishDate 2014
url http://irep.iium.edu.my/41573/
http://irep.iium.edu.my/41573/
http://irep.iium.edu.my/41573/1/P3.pdf
first_indexed 2023-09-18T20:59:31Z
last_indexed 2023-09-18T20:59:31Z
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