Patch-Based Video Denoising With Optical Flow Estimation

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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.
Funding Information
  • Serbian Ministry of Science (174013)
  • Ministerio de Ciencia, Innovación, Tecnología y Telecomunicaciones (TIN2011-27539, TIN2014-53772)

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