Performance analysis of Non Linear Filtering Algorithms for underwater images

Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected in to the image during transmission. Underwater images when captured usually have Gaussian noise, speckle noise and salt and pepper noise. In this...

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Bibliographic Details
Published inarXiv.org
Main Authors Padmavathi, G, Subashini, P, Mr M Muthu Kumar, Thakur, Suresh Kumar
Format Paper
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 05.12.2009
Subjects
Algorithms
Image filters
Image transmission
Noise
Random noise
Signal to noise ratio
Underwater
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Summary:Image filtering algorithms are applied on images to remove the different types of noise that are either present in the image during capturing or injected in to the image during transmission. Underwater images when captured usually have Gaussian noise, speckle noise and salt and pepper noise. In this work, five different image filtering algorithms are compared for the three different noise types. The performances of the filters are compared using the Peak Signal to Noise Ratio (PSNR) and Mean Square Error (MSE). The modified spatial median filter gives desirable results in terms of the above two parameters for the three different noise. Forty underwater images are taken for study.
ISSN:2331-8422