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