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New noise reduction method based on FPGA for a stereoscopic video system
Author(s): Romuald Mosqueron; Flavio Capitao; Léandre Bolomey; Ietxu Gomez
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Paper Abstract

A 3D reality world used for medical therapies needs clear images without defective and noisy pixels. This is essential for portative equipments used by several patients inside the same building. To reduce the resources of the system, a corrective and denoising implementation has been implemented based on FPGA. Two low resources algorithms are proposed for defective pixel correction and noise reduction. The correction algorithms are integrated according to ”Bayer Color Filter Array” for stereoscopic video system respecting real-time constraints. State-of-the-art denoising algorithm shows that implementations use too many resources for the target system, therefore a new low resource denoising algorithm is presented. It is derived from the efficient Non-Local Means (NLM) denoising algorithm which is hardly implementable in a FPGA system. The new denoising method discussed in this paper does not use any multiplier and only consumes 3.8k ALUTs.

Paper Details

Date Published: 16 July 2019
PDF: 8 pages
Proc. SPIE 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 111721B (16 July 2019); doi: 10.1117/12.2521707
Show Author Affiliations
Romuald Mosqueron, Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud (Switzerland)
Flavio Capitao, Haute Ecole d'Ingénierie et de Gestion du Canton de Vaud (Switzerland)
Léandre Bolomey, Mindmaze SA (Switzerland)
Ietxu Gomez, Mindmaze SA (Switzerland)


Published in SPIE Proceedings Vol. 11172:
Fourteenth International Conference on Quality Control by Artificial Vision
Christophe Cudel; Stéphane Bazeille; Nicolas Verrier, Editor(s)

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