Multi-band blending of aerial images using GPU acceleration

Aerial images are densely captured with high resolution. It is an important research topic to efficiently process the aerial images. Benefited from its powerful computation power, GPU acceleration techniques have been widely used in image processing, and many traditional techniques achieved real-tim...

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Veröffentlicht in:2017 10th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP BMEI) S. 1 - 5
Hauptverfasser: Zhao, Nan, Zheng, Xinqi
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.10.2017
Schlagworte:
Acceleration
aerial image
algorithm parallelization
GPU acceleration
Graphics processing units
image blending
image decomposition
Image resolution
Laplace equations
Mathematical model
Memory management
Random access memory
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Zusammenfassung:Aerial images are densely captured with high resolution. It is an important research topic to efficiently process the aerial images. Benefited from its powerful computation power, GPU acceleration techniques have been widely used in image processing, and many traditional techniques achieved real-time processing through using the GPU acceleration. In this research, we study the aerial image blending problems using GPU acceleration. We parallelized the Multi-band blending algorithm and achieved 30 times acceleration compared with CPU implementation.
DOI:10.1109/CISP-BMEI.2017.8302068