Image Fusion Algorithm Based on Double-tree Complex Wavelet Transform

摘要

An image fusion method based on Q-shift DTCWT was proposed in the paper. According to the correlation of the low frequency coefficients and the high frequency coefficients, this paper adopt a method that the low frequency coefficients and high frequency coefficients are fused with NGMS (Neighborhood Gradient Maximum Selectivity) and SIMVMS (Synthesis Image Module Value Maximum Selectivity) separately. Then we make the result be consistency verification. The experiment shows that the proposed algorithm is superior to the algorithms of wavelet transform. Due to the approximate shift invariant and good directional selectivity of Q-shift DT-CWT, the proposed algorithm not only solves the problems such as low contrast and blocking effects caused by fusion algorithms in space domain, but also avoids the "artifacts" and "ringing artifacts" in the fusion algorithm of Wavelet Transform.