The Reconstruction Quality Improvement of Single-Pixel Imaging via Modified Split-Bregman Iteration

• Main Authors: Xu Yang, Lu Xu, Long Wu, Chenghua Yang, Wei Zhang, Yuehao Liu, Yong Zhang
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Ghost imaging; high reconstruction quality; iteration with filtering method; modified Split-Bregman iteration
• Online Access: https://ieeexplore.ieee.org/document/9099811/
• ISSN: 2169-3536

A modified Split-Bregman iteration method is proposed to reconstruct the image of target in computational ghost imaging. Different from the conventional Split-Bregman iteration, each reconstruction result of Split-Bregman iteration is denoised by BM3D filter in the proposed, which can help reduce the noise of the final reconstructed result effectively. The method has high quality reconstruction effectiveness and is able to retain the edge and texture detail information well. The numerical simulation and experiment results verify the feasibility of the proposed method. Comparing with other methods qualitatively and quantitatively, our method has high performance in reconstructing image of target.