Patch-Based Video Denoising With Optical Flow Estimation PROJECT TITLE :Patch-Based Video Denoising With Optical Flow EstimationABSTRACT:A unique image sequence denoising algorithm is presented. The proposed approach takes advantage of the self-similarity and redundancy of adjacent frames. The algorithm is inspired by fusion algorithms, and as the amount of frames increases, it tends to a pure temporal average. The employment of motion compensation by regularized optical flow methods permits robust patch comparison during a spatiotemporal volume. The utilization of principal component analysis ensures the correct preservation of fine texture and details. An intensive comparison with the state-of-the-art ways illustrates the superior performance of the proposed approach, with improved texture and detail reconstruction. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Face Recognition With Pose Variations and Misalignment via Orthogonal Procrustes Regression Spatio-temporal mean curvature based image sequence restoration
