DocumentCode :
3390175
Title :
Image fusion using the Parameterized Logarithmic Dual Tree Complex Wavelet Transform
Author :
Nercessian, Shahan ; Panetta, Karen ; Agaian, Sos
Author_Institution :
Dept. of Electr. & Comput. Eng., Tufts Univ., Medford, MA, USA
fYear :
2010
fDate :
8-10 Nov. 2010
Firstpage :
296
Lastpage :
302
Abstract :
Image fusion combines multiple images into a single image containing the relevant information from each of the original source images. This paper introduces a new Parameterized Logarithmic Dual Tree Complex Wavelet Transform (PL-DT-CWT) and its application for image fusion. The new transform combines the Dual Tree Complex Wavelet Transform (DT-CWT) with the Parameterized Logarithmic Image Processing (PLIP) model, a nonlinear image processing framework for processing images. Experimental results via computer simulations illustrate the improved performance of the proposed algorithms by both qualitative and quantitative means.
Keywords :
image fusion; trees (mathematics); wavelet transforms; PL-DT-CWT; PLIP; computer simulations; image fusion; nonlinear image processing framework; parameterized logarithmic dual tree complex wavelet transform; parameterized logarithmic image processing model; Approximation methods; Discrete wavelet transforms; Filter bank; Image fusion; dual tree complex wavelet transform; image fusion; parameterized logarithmic image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Homeland Security (HST), 2010 IEEE International Conference on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4244-6047-2
Type :
conf
DOI :
10.1109/THS.2010.5655039
Filename :
5655039
Link To Document :
بازگشت