A biomimetic vision system for improving imaging brightness

Abstract

The invention discloses a bionic vision system for improving imaging brightness, comprises a light source (1), an optical imaging system (2), a bionic low-light-level image intensifier (3) and a post-processing system (4), wherein the post-processing system (4) further comprises a planar CCD image sensor (41), a computer processing unit (42) and an image processing algorithm module (43); The optical imaging system (2) is coaxial with a bionic low-light-level image intensifier (3) and a planar CCD image sensor (4), and the planar CCD image sensor (4) is positioned at the focal plane of the optical imaging system (1), the bionic low-light-level image intensifier (3) is positioned at the front end of the planar CCD image sensor (4) and closely adheres to the planar CCD image sensor (4). The invention achieves the positive technical effect that the imaging brightness is improved by 5.61 times and the uniformity of the imaging brightness improvement multiple is 95.30%.

Description

technical field [0001] The invention relates to the technical field of bionic vision, in particular to a bionic vision system for improving imaging brightness. Background technique [0002] Humans use their eyes to obtain image information from the surrounding environment to understand this complicated world. Accurate observation and recognition of objects requires sufficient brightness. However, due to the low light sensitivity of the retinal structure of the human eye, it cannot Sufficient "exposure", so the human eye cannot accurately observe and identify objects in low-light environments such as night. With the advancement and development of artificial lighting system technology, the low-light environment has been greatly improved, but it is still not possible to make the night as bright as day anytime and anywhere. For example, when traveling at night, the light is still very dim compared with daytime. In addition, not all situations require sufficient light. For examp...

AI Technical Summary

Problems solved by technology

[0004] At present, the principle of traditional low-light night vision equipment is complex, the structure is compact, and it is not portable enough. At the same time, the traditional low-light night vision technology relies on the properties of photoelectric physical materials and the processing time and accuracy of image processing algorithms, high cost, power consumption, and the application environment is not wide enough.

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