NSST Domain Sonar Image Fusion Optimization Algorithm Based on Improved PM Diffusion Equation
To address the issue of blurring and loss of edge feature information in sonar images,an improved algorithm for sonar image fusion based on improved PM diffusion equation according to Non-subsampled Shearlet Transform is proposed to make the images contain as much edge and texture features,others as possible.The multi-scale decomposition of NSST with nonlinear diffusion filtering is improved,multiple source images are decomposed into high-frequency and low-frequency coefficients.The local energy and PCNN method are combined to fuse high and low frequency coefficients.A fused image is reconstructed through inverse transformation.After experimental verification and comparison with other algorithms,this proposed method can better preserve the edge feature information in the source images and performs more obviously in noisy sonar images.
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