DocumentCode
3270972
Title
Reconstruction of Bionic Compound Eye Images Based on Superresolution Algorithm
Author
Li, Min ; Xu, Lizhong ; Huang, Fengchen ; Tang, Min ; Wang, Huibin
Author_Institution
Hohai Univ. Nanjing, Nanjing
fYear
2007
fDate
20-24 March 2007
Firstpage
706
Lastpage
710
Abstract
Multi-frame superresolution technology can get a high resolution image from multi-frame LR images. The last period processing of the bionic compound eye system can be considered as a multi-frame super-resolution processing. An iterative method is proposed built on the "shift and add" algorithm. For its disadvantage of restoring the information of edge and detail, the new iterative method suggests that the low-resolution images should be preprocessed before interpolation, so that the reconstructed high-resolution image can have the clearer edges. At the same time, in order to improve the weakness of maximum a posteriori algorithm in edge and detail, this method also is used before reconstruction.
Keywords
edge detection; image reconstruction; image resolution; image restoration; iterative methods; CCD array; bionic compound eye image reconstruction; image edge restoration; iterative method; multiframe superresolution algorithm; shift-add algorithm; Charge coupled devices; Degradation; Educational institutions; Eyes; Image reconstruction; Image resolution; Image restoration; Insects; Iterative algorithms; Iterative methods; IBP; MAP; superresolution;
fLanguage
English
Publisher
ieee
Conference_Titel
Integration Technology, 2007. ICIT '07. IEEE International Conference on
Conference_Location
Shenzhen
Print_ISBN
1-4244-1092-4
Electronic_ISBN
1-4244-1092-4
Type
conf
DOI
10.1109/ICITECHNOLOGY.2007.4290411
Filename
4290411
Link To Document