Gradient Histogram Based De-Noising for Videos using Additive White Gaussian Noise

Abstract: Image and video denoising is very popular and governs the performance of many other algorithms. In this paper gradient histogram method is applied on the frames of the video i.e. images for denoising and hence the complete video is denoised. Gradient histogram approach has one advantage in addition to other approach; it also improves visual quality of denoised image. In this paper gradient histogram method is applied after applying additive white Gaussian noise to the images retrieved from video. It is found that PSNR of denoised video is 17.4 which is more as compared to previous approaches which has maximum of 16.

Keywords: Gradient histogram, image denoising, spatial domains, transforms domains, psnr.