An Improved Median Filter Using Decision Based Switching Filter
نویسنده
چکیده
Images plays vital role in our daily life. Noise is one of the important limitation in digital image processing. Noise is basically the type of unwanted disturbance in the image. A lot study is made so outlying to diminish or confiscate noise from digital images. Most of the filter fails when the noise density is very high. This paper proposes improved modified decision based median filter which is capable of removing noise of very high density. The simulated results preserve edges than available method. The filter works when the pixels are having value 0 or 255 represents pepper noise and 255 represents salt noise. The proposed algorithm implemented over the MATLAB shows that 77.56% noise removals can be done which is higher as compared to the exiting algorithm or filter used so far. Keywords— Digital images, Salt and pepper noise, Median filter, Global median filter
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