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Image Processing Application on Graphics processors
Marwa Chouchene, Bahri Haythem, Sayadi Fatma Ezahra, Atri Mohamed
Pages - 66 - 72 | Revised - 31-03-2014 | Published - 30-04-2014
Published in International Journal of Image Processing (IJIP)
MORE INFORMATION
KEYWORDS
Image Processing, GPU, CUDA.
ABSTRACT
In this work, we introduce real time image processing techniques using modern programmable Graphic Processing Units GPU. GPU are SIMD (Single Instruction, Multiple Data) device that is inherently data-parallel. By utilizing NVIDIA new GPU programming framework, “Compute Unified Device Architecture” CUDA as a computational resource, we realize significant acceleration in image processing algorithm computations. We show that a range of computer vision algorithms map readily to CUDA with significant performance gains. Specifically, we demonstrate the efficiency of our approach by a parallelization and optimization of image processing, Morphology applications and image integral.
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Miss Marwa Chouchene
Laboratory of Electronics and Microelectronics (EuE)
Faculty of Sciences Monastir
Monastir, 5000 - Tunisia
ch.marwa.84@gmail.com
Dr. Bahri Haythem
Laboratory of Electronics and Microelectronics (E?E) Faculty of Sciences Monastir Monastir, 5000, Tunisia - Tunisia
Dr. Sayadi Fatma Ezahra
Laboratory of Electronics and Microelectronics (E?E) Faculty of Sciences Monastir Monastir, 5000, Tunisia - Tunisia
Dr. Atri Mohamed
Laboratory of Electronics and Microelectronics (E?E) Faculty of Sciences Monastir Monastir, 5000, Tunisia - Tunisia
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