DocumentCode :
160274
Title :
Parameters optimization in blind motion deblurring of UAV images
Author :
Wen-Jun Lu ; Libiao Tong ; Min-Jie Li ; Cong-li Li
Author_Institution :
New Star Res. Inst. of Appl. Technol., Hefei, China
fYear :
2014
fDate :
11-13 July 2014
Firstpage :
1
Lastpage :
5
Abstract :
Single image motion blur restoration is a very challenging area of research. All kinds of images from the U AV reconnaissance mission equipment acquired in the presence of motion blur greatly affect image quality, which is essential for the blind recover their motion blur effect. This paper analyzes the characteristics of U AV and classic image restoration method, parameter optimization strategy proposed two blind recover from motion blur motion blur parameters and evaluate the quality point of view, validated by experimental strategy for non-Human scout image clarity provided technical support.
Keywords :
autonomous aerial vehicles; image restoration; motion estimation; optimisation; robot vision; UAV characteristics; UAV images; UAV reconnaissance mission equipment; blind motion deblurring; blind recover; image quality; motion blur motion blur parameters; nonhuman scout image clarity; parameter optimization strategy; single-image motion blur restoration; Algorithm design and analysis; Image quality; Image restoration; Kernel; Noise; Optimization; Reconnaissance; UAV images; blind restoration; image quality assessment; motion blur;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
Conference_Location :
Hefei
Print_ISBN :
978-1-4799-2695-4
Type :
conf
DOI :
10.1109/ICCCNT.2014.6962995
Filename :
6962995
Link To Document :
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