Sanchez, MG.; Vidal Gimeno, VE.; Arnal, J.; Vidal Meló, A. (2014). Image Noise Removal on Heterogeneous CPU-GPU Configurations. Elsevier. doi:10.1016/j.procs.2014.05.207
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/52283
Title:
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Image Noise Removal on Heterogeneous CPU-GPU Configurations
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Author:
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Sanchez, Maria G.
Vidal Gimeno, Vicente Emilio
Arnal, Josep
Vidal Meló, Anna
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UPV Unit:
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Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació
Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
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Issued date:
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Abstract:
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A parallel algorithm to remove impulsive noise in digital images using heterogeneous CPU/GPU computing is proposed. The parallel denoising algorithm is based on the peer group concept and uses an Euclidean metric. In order ...[+]
A parallel algorithm to remove impulsive noise in digital images using heterogeneous CPU/GPU computing is proposed. The parallel denoising algorithm is based on the peer group concept and uses an Euclidean metric. In order to identify the amount of pixels to be allocated in multi-core and GPUs, a performance analysis using large images is presented. A comparison of the parallel implementation in multi-core, GPUs and a combination of both is performed. Performance has been evaluated in terms of execution time and Megapixels/second. We present several optimization strategies especially effective for the multi-core environment, and demonstrate significant performance improvements. The main advantage of the proposed noise removal methodology is its computational speed, which enables efficient filtering of color images in real-time applications.
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Subjects:
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Parallel computing
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Noise removal in images
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GPU
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CUDA
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Multi-core
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OpenMP
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Copyrigths:
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Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
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Source:
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DOI:
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10.1016/j.procs.2014.05.207
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Publisher:
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Elsevier
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Publisher version:
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http://dx.doi.org/10.1016/j.procs.2014.05.207
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Conference name:
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14th International Conference on Computational Science
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Conference place:
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Cairns, Australia
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Conference date:
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June 10-12, 2014
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Project ID:
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MICINN/TIN2011-26254
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Thanks:
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This work was supported by the Spanish Ministry of Science and Innovation [grant number TIN2011-26254].
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Type:
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Comunicación en congreso
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