Skip to Main content Skip to Navigation
Conference papers

A New Real-Time Embedded Video Denoising Algorithm

Abstract : Many embedded applications rely on video processing or on video visualization. Noisy video is thus a major issue for such applications. However, video denoising requires a lot of computational effort and most of the state-of-the-art algorithms cannot be run in real-time at camera framerate. This article introduces a new real-time video denoising algorithm for embedded platforms called RTE-VD. We first compare its denoising capabilities with other online and offline algorithms. We show that RTE-VD can achieve real-time performance (25 frames per second) for qHD video (960×540 pixels) on embedded CPUs and the output image quality is comparable to state-of-the-art algorithms. In order to reach real-time denoising, we applied several high-level transforms and optimizations (SIMDization, multi-core parallelization, operator fusion and pipelining). We study the relation between computation time and power consumption on several embedded CPUs and show that it is possible to determine different frequency and core configurations in order to minimize either the computation time or the energy.
Complete list of metadata

Cited literature [32 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-02343597
Contributor : Lionel Lacassagne <>
Submitted on : Saturday, November 2, 2019 - 9:57:51 PM
Last modification on : Tuesday, March 23, 2021 - 9:28:02 AM
Long-term archiving on: : Monday, February 3, 2020 - 2:21:16 PM

File

DASIP19_RTEVD.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-02343597, version 1

Citation

Andrea Petreto, Thomas Romera, Ian Masliah, Boris Gaillard, Manuel Bouyer, et al.. A New Real-Time Embedded Video Denoising Algorithm. DASIP 2019 - The Conference on Design and Architectures for Signal and Image Processing, Oct 2019, Montréal, Canada. ⟨hal-02343597⟩

Share

Metrics

Record views

198

Files downloads

1580