Image Fusion Using the Quincunx-Sampled Discrete Wavelet Frame

In this chapter, a novel image fusion algorithm based on the quincunx-sampled discrete wavelet frame is presented. We first show the replaceability of sampling matrix in multidimensional perfect reconstruction filter banks. By using the replaceability, the quincunx-sampled discrete wavelet frame is developed, and its characteristics are discussed. We then incorporate the quincunx-sampled frame into the multiscale based image fusion scheme. A nearly shift-invariant fusion algorithm with low redundancy is achieved, which is finally tested and compared with existing fusion algorithms on various image datasets. The experimental results show that the proposed fusion algorithm can produce high-quality fused images rapidly.

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