New noise reduction method based on FPGA for a stereoscopic video system

Mosqueron, Romuald (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Capitao, Flavio (School of Management and Engineering Vaud, HES-SO // University of Applied Sciences Western Switzerland) ; Bolomey, Léandre (Mindmaze SA, Lausanne, Switzerland) ; Gomez, Ietxu (Mindmaze SA, Lausanne, Switzerland)

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.


Type de conférence:
full paper
Faculté:
Ingénierie et Architecture
Ecole:
HEIG-VD
Institut:
ReDS - Reconfigurable & embedded Digital Systems
Adresse bibliogr.:
Mulhouse, France, 15-17 May 2019
Date:
2019-05
Mulhouse, France
15-17 May 2019
Pagination:
x p.
Publié dans:
Proceedings Volume 11172, Fourteenth International Conference on Quality Control by Artificial Vision, 15-17 May 2019, Mulhouse, France
DOI:
ISBN:
9781510630536
Le document apparaît dans:



 Notice créée le 2020-03-26, modifiée le 2020-03-26


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