BLUR REDUCTION AT HIGH DENSITY IMPULSE NOISE

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.