Fusion of Multifucus Image with Noise Based on Adaptive Sparse and LowRank Representations
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초록
Traditional multifucus image fusion often requires the inclusion of edge features, blurred details, and noisepollution when perturbed by noise. To address these problems, this study proposes a method for fusing noisymultifucus images using adaptive sparse and lowrank representations. The proposed method first decomposesthe image into high and lowfrequency subband coefficients using a nonsubsampled shearlet transform. Subsequently, the highfrequency energy components are fused and denoised using a lowrank representation. The corresponding fusion rules are then set using an adaptive sparse representation to fuse the lowfrequencysubband coefficients. The final fusion result is obtained by reconstructing the fused high and lowfrequencysubband coefficients. Experimental results show that the proposed method outperforms traditional methods interms of both subjective performance and objective indicators, making it a compelling fusion method for noisymultifucus images.
Abstract
Traditional multifucus image fusion often requires the inclusion of edge features, blurred details, and noisepollution when perturbed by noise. To address these problems, this study proposes a method for fusing noisymultifucus images using adaptive sparse and lowrank representations. The proposed method first decomposesthe image into high and lowfrequency subband coefficients using a nonsubsampled shearlet transform. Subsequently, the highfrequency energy components are fused and denoised using a lowrank representation. The corresponding fusion rules are then set using an adaptive sparse representation to fuse the lowfrequencysubband coefficients. The final fusion result is obtained by reconstructing the fused high and lowfrequencysubband coefficients. Experimental results show that the proposed method outperforms traditional methods interms of both subjective performance and objective indicators, making it a compelling fusion method for noisymultifucus images.
참고문헌 (14)
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