An effective algorithm for aerial images fusion

Abstract

An Effective low-light-television (LLTV) and forward-looking-infrared (FLIR) aerial images fusion method based on dual-tree complex wavelet transform (DT-CWT) is presented for flight navigation. The deficiencies of traditional discrete wavelet transform (DWT) based algorithms in characteristics representation are very obvious. The DT-CWT is suitable to image fusion processing because of its shift invariance and directional selectivity. It is preferable to traditional DWT. The simple and effective fusion rules are also putted forward. The high frequency parts use absolute value as measurement, and the low frequency parts use average after DT-CWT of source images. Comparing with the other seven methods, the experimental results and the evaluating statistics demonstrate that the proposed fusion algorithm is effective.