Impulse Noise Removal Based on Adaptive Threshold Technique
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2014, Vol 2, Issue 12
Abstract
In many important fields such as in the field of medical imaging for diagnosis of diseases, face recognition for security purposes and so many other fields Digital image processing is widely used. Many high quality and high resolutions are very common now days but noise mostly damages the exact quality for the image formed. Linear noise filtering technique does not work well when the noise is non-adaptive in nature and hence a number of non-linear filtering technique where introduced. In nonlinear filtering technique, median filters and its modifications where used to remove noise but it resulted in blurring of images. Our work mainly deals with the removal of impulse noise from the degraded images due to noise. In this algorithm, the pixel is replaced only if it is identified to be a noisy pixel by the proposed adaptive threshold algorithm otherwise the original pixel is retained. It is always considered to be the best technique to remove the noise because it mostly deals with the image if it is really affected by noise. It is proved that the proposed algorithm is more suitable for high noise environment. The parameters Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) are measured for determining the visibility and similarity of output video frames.
Authors and Affiliations
L. S. Usharani, Dr. P. Thiruvalarselvan, Dr. G. Jagajothi
Keywords
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- EP ID EP19241
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