Image Fusion Algorithm Based on Wavelet Sparse Represented Compressed Sensing

Abstract

Abstract-On the basis of the compressed sensing theory, this study proposed an improved wavelet sparse represented compressed sensing based image fusion algorithm. This algorithm firstly got the wavelet sparse domain linear measurement values of the original images by the dual radial sampling mode. Then a simple maximum absolute value fusion rule was adopted on the compressed sensing domain. Finally, the minimum total variation method was used to reconstruct the fused image. The experiment result shows that this algorithm has good fusion effect.