Bionic super-resolution imaging sensor and imaging method

Abstract

The invention discloses a bionic super-resolution imaging sensor and imaging method, relates to the imaging sensor and imaging method and belongs to the technical field of optical imaging. The bionic super-resolution imaging sensor disclosed by the invention comprises rotary double optical wedges, a bionic compound eye detection camera group, a spectroscope, a bionic compound eye staring camera group, an imaging processing module, a central control unit and a servo motor. The rotary double optical wedges are used for adjusting positions of areas of interest in a scene within a field of vision. The bionic compound eye detection camera group is used for simulating insect compound eyes to realize large field of view imaging and carrying out large field of view detection on areas in which targets may exist. The invention also discloses the imaging method realized based on the bionic super-resolution imaging sensor. According to the imaging sensor and imaging method with a large field of view imaging and foveated imaging mode switching function, two times of detection and judgment can be carried out on the areas of interest, and the accuracy is relatively high.

Description

technical field [0001] The invention belongs to the technical field of optical imaging, and relates to an imaging sensor and an imaging method, in particular to an imaging sensor and an imaging method with the imaging mode switching function of large field of view imaging and small concave imaging. Background technique [0002] Bionic image sensors are imaging vision sensors that use optics, microelectronics, and machinery to imitate the structure and function principles of organisms. Insect compound eyes have the advantages of large field of view, small size, high response, and high time resolution, and have advantages in the design of moving target detection, target recognition, and miniature super-resolution imaging systems; High-resolution imaging for target recognition and tracking, while compressing the amount of information in irrelevant areas of the edge, for salient features (such as motion) detection, this spatial non-uniform sampling structure improves the utiliza...

AI Technical Summary

Problems solved by technology

This method can be integrated with existing imaging modules on the market, and the cost is low, but compared with the super-resolution reconstruction of the imitation compound eye imaging system, its resolution is still limited by the Gyquist frequency of the image sensor, and the method Still rely on monocular to achieve large field of view imaging, which cannot meet the needs of large field of view

In summary, imaging sensors that rely solely on compound eye bionics or human eye bionics are no longer in demand.

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