A programmable aperture imaging system and super-resolution method based on lcos spatial light modulator

Abstract

The invention discloses a programmable aperture imaging system based on an LCOS spatial light modulator and a super-resolution reconstruction method using the system. The system includes a spatial light modulator, an optical beam splitter, a second lens, a camera, and a first lens , imaging main lens group, described lens two, light beam splitter and lens one constitute 4f system reflective optical path structure, the included angle of light beam splitter and lens two, lens one is 45 °, lens two, lens one The distances from the optical beam splitter are equal; the aperture plane of the imaging main lens group is imaged onto the spatial light modulator, the spatial light modulator is on the back focal plane of lens one, and the spatial light modulator is also in front of lens two Focal plane; the camera is located at the rear focal plane of lens 2 of the 4f system. The invention does not need any mechanical scanning device, has simple structure, quick measurement, easy operation, stable and accurate measurement; LCOS spatial light modulator is used, which avoids grating diffraction effect.

Description

technical field [0001] The invention belongs to computational imaging technology, in particular to a programmable aperture imaging system and a super-resolution method based on an LCOS spatial light modulator. Background technique [0002] Although the existing photoelectric imaging technology has made great progress and achieved a series of excellent results, neither high-priced professional digital cameras nor cheap mobile phone cameras have broken through the traditional "small hole imaging" method, and are still lens-based "What you see is what you get" imaging mode, although the principle of this mode is simple and easy to operate, there is still an insurmountable limitation - image pixelation. Existing photoelectric imaging systems are limited by the level of detector technology and production costs in terms of information acquisition, specific functions, and performance indicators. Generally speaking, the most straightforward way to solve the problem of image pixelat...

AI Technical Summary

Problems solved by technology

Although the masking method can overcome the spectral aliasing problem caused by the distance between the centers of two adjacent CCD pixels, this method ignores the size of the CCD pixel and regards the CCD pixel as an ideal point, which does not solve the problem caused by each pixel of the CCD. The problem of low-pass effect caused by the size and shape of (Liu Jingdan, Xu Tingfa, Xun Xianchao, et al. Simulation of geometric super-resolution imaging by optical mask[J]. Optical Precision Engineering, 2014,22(8):2026-2031.)

In 2013, Liu Haiying and others proposed the use of digital micromirror array (DMD) to achieve super-resolution reconstruction, but the DMD device has a "diffraction grating effect", which affects the super-resolution effect (Liu Haiying, Li Yunsong, Wu Chengke. A digital micromirror array partition Compressed sensing imaging method for control and super-resolution reconstruction[J]. Acta Photonica Sinica, 2013,43(5):510002-0510002.)

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