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

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)

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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.

Item Type: Article (Journal)
Additional Information: 3930/41573
Uncontrolled Keywords: Biomedical Images, Poisson Noise, Image de-noising
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: dr Sheroz Khan
Date Deposited: 13 Feb 2015 16:17
Last Modified: 13 Feb 2015 16:17
URI: http://irep.iium.edu.my/id/eprint/41573

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