SALT AND PEPPER NOISE REDUCTION USING AND GATE HAVING2D MEDIAN FILTERING

Abstract

Noise is a redundant signal that may occur in the image. Salt and Pepper noise is also recognized as
impulse noise, independent noise or random noise, random occurrence of black and white pixels .The random
occurrence of black and white pixels is Salt and Paper noise. Image de-noising is the first step in analysing, restore
quality of the image. In this paper we use 2D median filter for salt and pepper noise, the use of medfilt2 FUNCTION.
Median filter is a type of non-linear filter used to condense the amount of intensity variant between one pixel and the
other pixel. With the rapid development of multimedia technology, the image scrambling for information hiding is severe
in today’s world. But, in quantum image processing field, the study on image scrambling is still few. Several image
scrambling schemes are in circle but, lot of it is yet to be performed. This paper presents the implementation of “AND”
gate using bitwise operation to scramble an image metric. .By using “AND “gate”, scrambling an image, so that image
can be hidden immensely to avoid third party intervention. We use a non –linear method for removing the noise in this
paper. . The median filter was once the most popular nonlinear filter for removing impulse noise because of its good denoising power and computational efficiency. Here we use 2D median filter. With the rapid development of multimedia
technology, the image scrambling for information hiding is severe in today’s world. But, in image processing field, the
study on image scrambling is still few, lot of it is yet to be performed.