title: Patch-Based Video Denoising With Optical Flow Estimation.
abstract: A novel 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 number of frames increases, it tends to a pure temporal average. The use of motion compensation by regularized optical flow methods permits robust patch comparison in a spatiotemporal volume. The use of principal component analysis ensures the correct preservation of fine texture and details. An extensive comparison with the state-of-the-art methods illustrates the superior performance of the proposed approach, with improved texture and detail reconstruction.
authors.forename: Antoni
authors.initials: A
authors.lastname: Buades
authors.forename: Jose-Luis
authors.initials: JL
authors.lastname: Lisani
authors.forename: Marko
authors.initials: M
authors.lastname: Miladinovc