Blur Reduction at High Density Impulse Noise

Abstract

This improved method is a simple, and efficient way to remove impulse noise from highly corrupted digital images. This method has two stages. The first stage is to detect the impulse noise in the image. In this stage, the pixels are divided into two classes (noise free pixels/ noise free pixels) based on only the intensity values .Then, the second stage is to eliminate the impulse noise from the image. In this stage, only the "noise-pixels" are processed. But the "noise-free pixels" are not modified and are copied directly to the output image. The method used gradient based adptive median filter,so that this method adaptively changes the size of the median filter based on the number of the "noise-free pixels" in the neighborhood. For the filtering, the gradian value of every pixel location at (x,y) is calculated. Then the median value can be find out under the consideration of only "noise-free pixels" .In this algorithm for effective noise detection is proposed. The Proposed algorithm produces better edge and fine details preservations and reduces blurring at the high density impulse noise. Because of its simplicity, this proposed method is suitable to be implemented in consumer electronics products such as digital television, or digital camera. Index Terms -Noise reduction, salt-and-pepper noise,impulse noise, median filter, adaptive filter.