Supplementation mechanism and PCNN-based NSCT domain image fusion method
An image fusion, image technology, applied in image enhancement, image analysis, image data processing and other directions, can solve problems such as image distortion
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[0071] refer to Figure 1-4 . The present invention is based on supplementary mechanism and the NSCT domain image fusion method of PCNN concrete steps are as follows:
[0072] The hardware environment used for implementation is: the experimental environment is CPU Intel Core i5-5200U@2.20GHz, memory is 4GB, and MATLAB R2014a is used for programming. The present invention adopts 4 groups of infrared images of “UN Camp” image set (320×240), “Octec” image set (640×480), “Quad” image set (256×256) and “Seascape” image set (256×256) with visible light image set.
[0073] Step 1: Perform NSCT decomposition on the registered images A and B to be fused to obtain their respective NSCT coefficients and in is the NSCT high-frequency subband coefficient of the k-th direction at the j-th scale of the A image, L A is the NSCT low-frequency coefficient of image A, is the NSCT high-frequency subband coefficient of the k-th direction at the j-th scale of the B image, L B is the NSC...
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