Quality Enhancement of Video Denoising Algorithm withCombined Effect of Different Views
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: An unwanted factor in digital images and videos called as Noise is responsible for hiding the detailsand destroying image information. Hence denoising has great importance in the detail restoration and to improvethe quality measures. A simple adaptive median filter (SAMF) is one of the most promising algorithm capable ofdenoising the videos to better extent, but incapable to use all the neighboring pixel information while noiseprocessing and hence quality of the denoised video can be further improved if all neighboring pixel information isconsidered. To make this possible the SAMF is combined with the multi-view denoising andthen a fusion strategyis used to generate enhanced denoised video sequence. The performance of the combined system is measuredthrough the image quality matrix called as Pick Signal to Noise Ratio (PSNR) at different noise contaminationlevel.
Authors and Affiliations
Snehal Ambulkar , Priti Golar
Keywords
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