Comparing the performance of various filters on stoned kidney images
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2016, Vol 18, Issue 4
Abstract
Abstract: Noise removing is the most important task for biomedical image analysis. Noise is always presents in ultrasound digital images during image acquisition. Filtering is a tool for noise removing. In this paper wecompare the performance of four filters- Median Filter, Averaging/Mean Filter, Gaussian Filter, Wiener filter. This paper presents which filter is best for removing noise like Gaussian, Salt & Pepper, Poisson, and Speckle noise from stoned kidney image. Which filter is best, is measured by calculating the MSE and PSNR of filtered image.
Authors and Affiliations
Pronab Kumar Mondal , Mst. Maklina Khatun , Umme Hadia Akter
Keywords
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- EP ID EP90874
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