Video imaging method, system, device and storage medium based on hybrid camera

Abstract

The embodiment of the present invention discloses a hybrid camera-based video imaging method, system, device, and storage medium. The method includes: acquiring at least three low-resolution images captured by a wide-field camera, and acquiring images captured by a narrow-field camera. A high-resolution image taken; by splicing each of the low-resolution images to obtain a low-resolution ring image; fusing the low-resolution ring image with the high-resolution image to determine a high-resolution image A ring image: by encoding and integrating each of the high-resolution ring images, a high-resolution video image is obtained. The technical solution of the embodiment of the present invention realizes that by combining the high-resolution images and low-resolution images captured by the narrow field of view camera and the wide field of view camera respectively, and using a series of algorithms to process them to obtain one billion pixels Super-resolution video images, improving the resolution of video images and the technical effect of spectral dimension.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of image recognition, and in particular to a hybrid camera-based video imaging solution, system, device, and storage medium. Background technique [0002] With the development of existing computational photography, camera industry and artificial intelligence industry technology, the field of computer vision has achieved breakthroughs in performance and data scale in video acquisition, video target tracking, and real-time video recognition. The recognition accuracy of video recognition technology can exceed that of human eyes. In order to further realize better modern artificial intelligence algorithms and help research in related fields, and at the same time achieve better video recognition effects in high-definition surveillance, remote sensing recognition and even military applications, how to effectively improve the dimension of current video in information space, It has become a ke...

AI Technical Summary

Problems solved by technology

However, whether it is a ring-shaped ultra-high-resolution imaging system with a larger viewing angle or a portable version of a dual-camera high-resolution imaging system, the information dimensions of the images formed are RGB (red, green, blue, , Green, Blue, the three primary colors that can be captured by the human eye, the same below) three-dimensional information, the higher-dimensional information of the captured light at the spectral level cannot be captured by the current system

[0004] In recent years, although super-resolution algorithms, hyperspectral cameras, and artificial intelligence technologies based on hyperspectral images have gradually matured, on the basis of existing high-resolution video acquisition systems, there is still no solution at the pixel level. The technical problem of increasing the amount of information in a higher dimension and the low resolution of video images

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