Title :
A Super Resolution Algorithm for Atmospherically Degraded Images Using Lucky Regions and MAP-uHMT
Author :
Wen, Zhiying ; Li, Feng ; Fraser, Donald ; Lambert, Andrew ; Jia, Xiuping
Abstract :
This paper demonstrates the possibility of super resolved image reconstruction for images affected by atmospheric turbulence. A lucky region method using bicoherence is proposed to select image tiles with superior quality or ¿lucky image regions¿ from a large number of short exposure images. A super resolved image is then reconstructed by a MAP method based on a universal hidden Markov tree model from the lucky regions. Performance is demonstrated with real data.
Keywords :
astronomical image processing; hidden Markov models; image reconstruction; image resolution; trees (mathematics); MAP method; MAP-uHMT; atmospheric turbulence; atmospherically degraded images; bicoherence; image reconstruction; image tiles; lucky regions; super resolution algorithm; universal hidden Markov tree; Degradation; Hidden Markov models; Image reconstruction; Image resolution; Image restoration; Optical diffraction; Optical imaging; Speckle; Surveillance; Telescopes;
Conference_Titel :
Digital Image Computing: Techniques and Applications, 2009. DICTA '09.
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4244-5297-2
Electronic_ISBN :
978-0-7695-3866-2
DOI :
10.1109/DICTA.2009.94
