Polyview Fusion A Strategy to Enhance Video-Denoising Algorithms - 2012 PROJECT TITLE :Polyview Fusion A Strategy to Enhance Video-Denoising Algorithms - 2012ABSTRACT: We propose a simple but effective strategy that aims to enhance the performance of existing video denoising algorithms, i.e., polyview fusion (PVF). The idea is to denoise the noisy video as a 3-D volume using a given base 2-D denoising algorithm but applied from multiple views (front, top, and side views). A fusion algorithm is then designed to merge the resulting multiple denoised videos into one, so that the visual quality of the fused video is improved. Extensive tests using a variety of base video-denoising algorithms show that the proposed PVF method leads to surprisingly significant and consistent gain in terms of both peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) performance, particularly at high noise levels, where the improvement over state-of-the-art denoising algorithms is often more than 2 dB in PSNR. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Wavelet Modeling Using Finite Mixtures of Generalized Gaussian Distributions Application to Texture Discrimination and Retrieval - 2012
