Image Noise Removal by Dual Threshold Median Filter for RVIN
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 2
Abstract
Abstract: Removal of random valued impulse noise in digital images with edge preservation is one of thechallenging tasks in digital image processing. For removal of impulse noise as well as preserve edge proposeda new filter that is Dual Threshold Median Filter (DTMF). The removal of impulse noise is done in two mainstages, firstly, the detection of the impulse noise on the basis of maximum and minimum value of pixels in a 3X3window. In the second stage, removal of impulse noise by using of median filter. In the filtering stage, the noisefreepixels remain unchanged in the low noise density, but in case of high noise density that is very difficult ofidentify the noisy pixel or edge of the image, this difficulty is remove by our proposed filter. The experimentaloutcome of our proposed filter is superior to the previous methods in terms of Peak Signal Noise Ratio andMean Square Error of the different testing images, with different noise density level. The mathematical analysis describes that the analysis of the noisy pixels and use of noise-free pixels for the de - noising purpose providebetter results and provides better visual quality of de-noised image.
Authors and Affiliations
Namrata Shelke , Manisha Pariyani
Keywords
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