Quality Enhancement of Video Denoising Algorithm with Combined Effect of Different Views

An unwanted factor in digital images and videos called as Noise is responsible for hiding the details and destroying image information. Hence denoising has great importance in the detail restoration and to improve the quality measures. A simple adaptive median filter (SAMF) is one of the most promising algorithm capable of denoising the videos to better extent, but incapable to use all the neighboring pixel information while noise processing and hence quality of the denoised video can be further improved if all neighboring pixel information is considered. To make this possible the SAMF is combined with the multi-view denoising andthen a fusion strategy is used to generate enhanced denoised video sequence. The performance of the combined system is measured through the image quality matrix called as Pick Signal to Noise Ratio (PSNR) at different noise contamination level.