DocumentCode
669913
Title
Entropy dependent compressive sensing based image fusion
Author
Jameel, Amina ; Ghafoor, Abdul ; Riaz, M.M.
Author_Institution
Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol. (NUST), Islamabad, Pakistan
fYear
2013
fDate
12-15 Nov. 2013
Firstpage
764
Lastpage
769
Abstract
An entropy dependent compressive sensing based image fusion is proposed which adaptively adjusts the number of compressive measurements depending on the amount of information (computed using entropy). Since the computational complexity is dependent on the number of compressive measurements, the proposed scheme is more efficient and accurate. Simulation results show the significance of the proposed scheme compared to existing compressive sensing based state of art scheme.
Keywords
compressed sensing; computational complexity; entropy; image fusion; compressive measurements; computational complexity; entropy dependent compressive sensing based image fusion; Dictionaries; Entropy; Histograms; Image fusion; Matching pursuit algorithms; Transforms; Vectors; Image fusion; compressive sensing; image entropy;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
Conference_Location
Naha
Print_ISBN
978-1-4673-6360-0
Type
conf
DOI
10.1109/ISPACS.2013.6704652
Filename
6704652
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