scholarly journals Parallelized multi–graphics processing unit framework for high-speed Gabor-domain optical coherence microscopy

2014 ◽  
Vol 19 (7) ◽  
pp. 071410 ◽  
Author(s):  
Patrice Tankam ◽  
Anand P. Santhanam ◽  
Kye-Sung Lee ◽  
Jungeun Won ◽  
Cristina Canavesi ◽  
...  
Keyword(s):  
High Speed ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Optical Coherence ◽  
Optical Coherence Microscopy ◽  
Gabor Domain ◽  
Graphics Processing

scholarly journals Real-time speckle variance swept-source optical coherence tomography using a graphics processing unit

2012 ◽  
Vol 3 (7) ◽  
pp. 1557 ◽  
Author(s):  
Kenneth K. C. Lee ◽  
Adrian Mariampillai ◽  
Joe X. Z. Yu ◽  
David W. Cadotte ◽  
Brian C. Wilson ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Real Time ◽  
Graphics Processing Unit ◽  
Processing Unit ◽  
Optical Coherence ◽  
Swept Source ◽  
Graphics Processing

IMAGE REGISTRATION AND FUSION SYSTEM BASED ON GPU

2010 ◽  
Vol 19 (01) ◽  
pp. 173-189
Author(s):  
SEUNG-HUN YOO ◽  
CHANG-SUNG JEONG
Keyword(s):  
Visual Information ◽  
High Speed ◽  
Graphics Processing Unit ◽  
Aerial Images ◽  
Processing Unit ◽  
Infrared Sensors ◽  
Fusion Algorithm ◽  
Registration Method ◽  
Multi Scale ◽  
Graphics Processing

Graphics processing unit (GPU) has surfaced as a high-quality platform for computer vision-related systems. In this paper, we propose a straightforward system consisting of a registration and a fusion method over GPU, which generates good results at high speed, compared to non-GPU-based systems. Our GPU-accelerated system utilizes existing methods through converting the methods into the GPU-based platform. The registration method uses point correspondences to find a registering transformation estimated with the incremental parameters in a coarse-to-fine way, while the fusion algorithm uses multi-scale methods to fuse the results from the registration stage. We evaluate performance with the same methods that are executed over both CPU-only and GPU-mounted environment. The experiment results present convincing evidences of the efficiency of our system, which is tested on a few pairs of aerial images taken by electro-optical and infrared sensors to provide visual information of a scene for environmental observatories.

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