Performance analysis of Non Linear Filtering Algorithms for underwater images

Details Performance analysis of Non Linear Filtering Algorithms for underwater images Performance analysis of Non Linear Filtering Algorithms for underwater images

2009-12-05

arxiv.org/abs/0912.1005v1

International Journal of Computer Science and Information Security, IJCSIS, Vol. 6, No. 2, pp. 232-238, November 2009, USA

Computer Science

Multimedia

7 pages IEEE format, International Journal of Computer Science and Information Security, IJCSIS November 2009, ISSN 1947 5500,

Scientific paper

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.

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