Image deconvolution for optical small satellite with deep learning and real-time GPU acceleration

In-orbit optical-imaging instruments may suffer from degradations due to space environment impacts or long-time operation. The degradation causes blurring on the image received from the ground. Degradations come from defocus and spherical aberrations cause blurring on the received image. Image deblu...

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Veröffentlicht in:	Journal of real-time image processing 2021-10, Vol.18 (5), p.1697-1710
Hauptverfasser:	Ngo, Tan D., Bui, Tuyen T., Pham, Tuan M., Thai, Hong T. B., Nguyen, Giang L., Nguyen, Tu N.
Format:	Artikel
Sprache:	eng
Schlagworte:	Aberration Aerospace environments Artificial neural networks Blurring Calibration Computer Graphics Computer Science Data acquisition Deconvolution Deep learning Degradation Earth observations (from space) Fourier transforms Graphics processing units Ground stations Image acquisition Image Processing and Computer Vision Image quality Modulation transfer function Multimedia Information Systems Neural networks Optical communication Optics Pattern Recognition Point spread functions Remote sensing Satellite imagery Satellite observation Satellites Sensors Signal to noise ratio Signal,Image and Speech Processing Small satellites Special Issue Paper Zernike polynomials
Online-Zugang:	Volltext
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