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
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;
Conference_Titel :
Intelligent Signal Processing and Communications Systems (ISPACS), 2013 International Symposium on
Conference_Location :
Naha
Print_ISBN :
978-1-4673-6360-0
DOI :
10.1109/ISPACS.2013.6704652
