Performance of Various Order Statistics Filters in Impulse and Mixed Noise Removal for RS Images
Signal & Image Processing : An International Journal(SIPIJ) Vol.1, No.2, December 2010
8 Pages Posted: 16 Jul 2021
Date Written: 2010
Remote sensing images (ranges from satellite to seismic) are affected by number of noises like interference, impulse and speckle noises. Image denoising is one of the traditional problems in digital image processing, which plays vital role as a pre-processing step in number of image and video applications. Image denoising still remains a challenging research area for researchers because noise removal introduces artifacts and causes blurring of the images. This study is done with the intension of designing a best algorithm for impulsive noise reduction in an industrial environment. A review of the typical impulsive noise reduction systems which are based on order statistics are done and particularized for the described situation. Finally, computational aspects are analyzed in terms of PSNR values and some solutions are proposed.
Keywords: Denoising, Interference Noise, Speckle Noise, Impulse Noise, Psnr, Remote Sensing Image
JEL Classification: Signal & Image Processing
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