A Quantitative Comparative Study of Video Denoising with Optical Flow Estimation in Spatial and Transform Domains

Authors

  • Sofiane KHOUDOUR Faculty of Science and Technology, University of Bordj Bou Arreridj ,Bordj Bou Arreridj, Algeria
  • Zoubeida MESSALI Faculty of Science and Technology, University of Bordj Bou Arreridj ,Bordj Bou Arreridj, Algeria
  • Rima BELKHITER Faculty of Science and Technology, University of Bordj Bou Arreridj ,Bordj Bou Arreridj, Algeria

DOI:

https://doi.org/10.51485/ajss.v5i3.112

Keywords:

Optical flow estimation, Video denoising, Patch denoising, Transform Domain

Abstract

In this paper we establish an extensive quantitative comparative study of patch-based video denoising with optical flow estimation algorithms. Namely, SPTWO, VBM3D and VBM4D algorithms are considered. The aim of this study is to combine these video denoising algorithms in a hybrid proposed process to take advantage of. SPTWO takes advantage of the self-similarity and redundancy of adjacent frames. The proposed hybrid algorithm and the three video denoising algorithms are implemented and tested on real sequences degraded by various level Additive White Gaussian Noise (AWGN). The obtained results are compared in terms of the most used performance criteria for various test cases. The performance criteria computed in this study are: RMSE and SSIM in addition to the running time and visual quality of the sequence video. Experimental results, illustrate that the proposed algorithm and SPTWO provide the best video quality and appear to be efficient in terms of preserving fine texture and detail reconstruction.

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Published

2020-09-15

How to Cite

[1]
KHOUDOUR, S., MESSALI, Z. and BELKHITER, R. 2020. A Quantitative Comparative Study of Video Denoising with Optical Flow Estimation in Spatial and Transform Domains. Algerian Journal of Signals and Systems . 5, 3 (Sep. 2020), 159-166. DOI:https://doi.org/10.51485/ajss.v5i3.112.

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Section

Articles