Image degradation characteristics and restoration based on regularization for diffractive imaging |
| |
Institution: | 1. College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, PR China;2. School of Printing and Packaging, Wuhan University, Wuhan 430079, PR China;3. Electric Power Research Institute, Guangxi Power Grid Co., Ltd., Nanning 530023, PR China;1. Institute of Photogrammetry and GeoInformation, Leibniz Universität Hannover, Germany;2. School of Geodesy and Geomatics, Wuhan University, Wuhan, PR China;3. Weizmann Institute of Science, Israel;1. School of Electronic Information Engineering, Tianjin University, Tianjin, China;2. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu, China;1. Departamento de Ecuaciones Diferenciales y Análisis Numérico, Universidad de Sevilla, Campus Reina Mercedes, 41012, Sevilla, Spain;2. Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, Av. Trab. São Carlense, 400 - Centro, São Carlos, SP, 13566-590, Brazil |
| |
Abstract: | The diffractive membrane optical imaging system is an important development trend of ultra large aperture and lightweight space camera. However, related investigations on physics-based diffractive imaging degradation characteristics and corresponding image restoration methods are less studied. In this paper, the model of image quality degradation for the diffraction imaging system is first deduced mathematically based on diffraction theory and then the degradation characteristics are analyzed. On this basis, a novel regularization model of image restoration that contains multiple prior constraints is established. After that, the solving approach of the equation with the multi-norm coexistence and multi-regularization parameters (prior’s parameters) is presented. Subsequently, the space-variant PSF image restoration method for large aperture diffractive imaging system is proposed combined with block idea of isoplanatic region. Experimentally, the proposed algorithm demonstrates its capacity to achieve multi-objective improvement including MTF enhancing, dispersion correcting, noise and artifact suppressing as well as image’s detail preserving, and produce satisfactory visual quality. This can provide scientific basis for applications and possesses potential application prospects on future space applications of diffractive membrane imaging technology. |
| |
Keywords: | Diffractive imaging system Space-variant image restoration Multi-objective improvement Dispersion correcting MTF enhancing Noise suppressing Image’s detail preserving |
本文献已被 ScienceDirect 等数据库收录! |
|