Impulse noise and Pepper Noise often disturbed Digital
images. In Image and Video Processing System, The most common and important
processing operation is image denoising. There are so many linier and non
linier filtering algorithm are proposed in literature for image denoising.
For visual perception image edges and details carry
very important information and have high frequency. in digital image
filtering we need good edges and image detail properties which is highly
suitable for filters. Sharp edges are generally disturbed by linier filters. It
also destroy lines and other fine details which present in the image. A search
for non linier filter alternatives has been led by filters.
To remove high
density noise in images are presented we need some improved decision based
nonlinear edge preserving algorithms. For suppressing different types of noise
in the image with good edge and fine detail preserving characteristics, the
proposed filters are simple and effective. A decision based adaptive recursive
weighted mean filter is proposed; the filter uses the mean controlled algorithm
for weight
calculation. A decision based
adaptive window scheme is incorporated in the recursive weighted mean filter.
The proposed filter is shown to be effective in removing high density salt and
pepper noise quite well with edge preservation.
The proposed Modified Decision Based UnsymmetricTrimmed Mean Filter
(MDBUTMF) algorithm processes the corrupted images by first detecting the
impulse noise. The processing pixel is checked whether it is noisy or noisy
free. That is, if the processing pixel lies between maximum and minimum gray
level values then it is noise free pixel.it is left unchanged.If the processing
pixel takes the maximum or minimum gray level then it is noisy pixel which is
processed by MDBUTMF.
Neeraj Sharma
Assistant Professor
Parishkar college of Global Excellence
