Global optimization design method of photoelectric imaging system based on computational imaging

Abstract

The invention relates to a global optimization design method of a photoelectric imaging system based on computational imaging. The method comprises the steps of designing a lens initial structure of an optical system according to imaging requirements, imaging the imaging target to obtain an optical image; adding simulation noised to the optical image to obtain degraded images, and using the imagerestoration system to carry out image restoration on the degraded image to obtain a restored image, performing end-to-end image quality evaluation on the restored image and the optical image accordingto the image quality evaluation index, and returning a result to optical system design software, thereby optimizing the whole imaging system to obtain a globally optimized design result. According tothe method, the optical system and the curved surface detector are optimally designed on the basis of correcting the optical phase difference by adopting an image restoration algorithm, so that the design difficulty and complexity of the optical system and the adjustment difficulty of the optical system can be effectively reduced.

Description

technical field [0001] The invention belongs to the technical field of optical system design, and in particular relates to a global optimization design method of a photoelectric imaging system based on computational imaging. Background technique [0002] As a product of the industrial age, traditional photoelectric imaging can well meet the needs of traditional industries. At present, photoelectric imaging equipment generally has the following problems: the use of photoelectric imaging equipment is severely restricted by weather conditions; the optical system is bulky and heavy in photoelectric equipment. Heavy, high processing and assembly costs; defocus, motion blur and lack of depth information are difficult problems for optoelectronic imaging equipment. [0003] The traditional optical system design method is based on the aberration-driven design concept. Because of the diffraction, the point light source passes through the optical system and forms a diffuse spot with a ...

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Problems solved by technology

[0002] As a product of the industrial age, traditional photoelectric imaging can well meet the needs of traditional industries. At present, photoelectric imaging equipment generally has the following problems: the use of photoelectric imaging equipment is severely restricted by weather conditions; the optical system is bulky and heavy in photoelectric equipment. Heavy, high processing and assembly costs; defocus, motion blur and lack of depth information are difficult problems for optoelectronic imaging equipment

Common aberrations in the imaging process include spherical aberration, coma, field curvature, astigmatism, distortion and chromatic aberration, etc. In order to eliminate various order aberrations, a common solution in the design and processing of optical systems is to use multiple sets of mirrors Optimal design of groups and multi-lens lenses, and the use of expensive special materials such as fluorite for processing, but this will reduce the energy transmitted through the optical system, and the design difficulty of the large aperture system will increase accordingly

[0004] For the traditional optical system design method, the image processing system is used as a supplement to the entire optical system design, and is independent of the optical system design process, which will lead to the inability to obtain a global optimal design solution for the optical system during the design process, and , today's imaging detector is a uniformly sampled focal plane array, and the image field is flat. For an optical system with a large field of view, there will inevitably be serious distortion and field curvature aberration, and only the optical system is used to correct it , will increase the difficulty of designing the optical system. Therefore, it is necessary to improve the traditional design method and find a design method that can globally optimize the photoelectric imaging system.

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