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Video Denoising Based on Adaptive Temporal Averaging

David Bartovčak
Miroslav Vrankić orcid id orcid.org/0000-0002-1036-9261 ; Tehnički fakultet Sveučilišta u Rijeci


Puni tekst: engleski pdf 461 Kb

str. 64-69

preuzimanja: 2.256

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Sažetak

This paper proposes a video denoising algorithm based on adaptive, pixel-wise, temporal averaging. The algorithm decomposes videos into a set of 1-D time dependent signals and then removes the noise by establishing temporal averaging intervals throughout each signal from the set. Temporal averaging intervals are established by simple, yet effective comparison processes which include two-way thresholding. The proposed algorithm is tested on several types of 1-D signals and benchmark videos. Experiments suggest that the proposed algorithm, despite its simplicity, produces high-quality denoising results and even outperforms some state-of-the-art competitors.

Ključne riječi

signal processing, video denoising, temporal averaging, averaging interval, pixel-domain method, additive white Gaussian noise

Hrčak ID:

84213

URI

https://hrcak.srce.hr/84213

Posjeta: 2.593 *