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Digital holographic image fusion for a larger size object using compressive sensing
Affiliation:1. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China;2. School of Computer Science and Engineering, Hebei University of Technology, Tianjin, China
Abstract:Digital holographic imaging fusion for a larger size object using compressive sensing is proposed. In this method, the high frequency component of the digital hologram under discrete wavelet transform is represented sparsely by using compressive sensing so that the data redundancy of digital holographic recording can be resolved validly, the low frequency component is retained totally to ensure the image quality, and multiple reconstructed images with different clear parts corresponding to a laser spot size are fused to realize the high quality reconstructed image of a larger size object. In addition, a filter combing high-pass and low-pass filters is designed to remove the zero-order term from a digital hologram effectively. The digital holographic experimental setup based on off-axis Fresnel digital holography was constructed. The feasible and comparative experiments were carried out. The fused image was evaluated by using the Tamura texture features. The experimental results demonstrated that the proposed method can improve the processing efficiency and visual characteristics of the fused image and enlarge the size of the measured object effectively.
Keywords:Digital holography  Image fusion  Compressive sensing  Discrete wavelet transform  Sparse representation
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