A new method of removing salt and pepper noise image using MV-algebra

In this paper, We introduce a new method of removing high density salt and pepper noise in digital images, by using Lukasicwicz algebra with square root (standard Mv-algebra) LAsqrt. We call this method standard Husein, Hind and Yahiya method denoted by SHHY. A new fuzzy logic function in LAsqrt called Husein, Hind and Yahiya Filter denoted by (HHYF) is used to remove the salt and pepper noise in images. Also, we prove some mathematical propositions to use them as a mathematical support in our new method. Finally, the enhanced image from the SHHY method is compared with some methods median, mean, weighted and wiener the results and analysis show that the SHHY algorithm out performs in peak signal noise ratio (PSNR). In this paper , We introduce a new method of removing high density salt and pepper noise in digital images , by using Lukasicwicz algebra with square root (standard Mv- algebra ) LAsqrt .We call this method standard Husein , Hind and Yahiya method denoted by SHHY . A new fuzzy logic function in LAsqrt called Husein , Hind and Yahiya Filter denoted by (HHYF) is used to remove the salt and pepper noise in images .Also ,we prove some mathematical propositions to use them as a mathematical support in our new method . Finally , the enhanced image from the SHHY method is compared with some methods median , mean , weighted and wiener the results and analysis show that the SHHY algorithm out performs in peak signal noise ratio (PSNR)