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

A hybrid camera and imaging method technology, which is applied in the field of image recognition, can solve the problems of low resolution of capture and video images, and achieve the effects of saving costs, improving technical effects, improving resolution and spectral dimension

Active Publication Date: 2019-01-08
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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

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Embodiment 1

[0030] figure 1 It is a schematic flowchart of a video imaging method based on a hybrid camera provided by Embodiment 1 of the present invention. The method can be executed by a video imaging system based on a hybrid camera array, and the system can be implemented in the form of software and / or hardware.

[0031] Such as figure 1 Described, the method of the present embodiment comprises:

[0032] S110. Acquire at least three low-resolution images captured by a wide-field camera, and acquire a high-resolution image captured by a narrow-field camera.

[0033] Among them, the wide-field camera can be understood as a camera with a short-focus lens. The camera has a larger lens aperture and better image quality. That is to say, the wide-field camera can capture close-range images, and the resolution of the captured images is relatively low but the captured images have a wide field of view. A narrow field of view camera can be understood as a camera with a telephoto lens. The len...

Embodiment 2

[0065] As a preferred embodiment of the above embodiment, image 3 A video imaging method based on a hybrid camera provided in Embodiment 2 of the present invention, the method includes:

[0066] S301. Acquire at least three low-resolution preview images based on at least three wide-field cameras.

[0067] The at least three wide-field cameras may be three or more, optionally, five wide-field cameras, and the lens of each camera has a shooting degree of 90 degrees. Before processing the low-resolution images captured by the wide-field cameras, a low-resolution preview image can be captured by five wide-field cameras. It should be noted that before taking low-resolution images based on the wide-field camera and processing them, the parameters of the wide-field camera can be adjusted and set. Optionally, adjusting the parameters of the wide-field camera can be Adjust the performance parameters of the wide-field camera, and adjust the placement position so that each wide-field ...

Embodiment 3

[0086] Figure 4 A schematic structural diagram of a video imaging system based on a hybrid camera array provided by Embodiment 3 of the present invention, the system includes: an image acquisition module 410 , an image stitching processing module 420 , an image fusion processing module 430 and a video image processing module 440 .

[0087] Wherein, the image acquisition module 410 is used to acquire at least three low-resolution images taken by a wide-field camera, and obtains a high-resolution image taken by a narrow-field camera; the image stitching processing module 420 is used to process each The low-resolution images are spliced ​​to obtain a low-resolution ring image; the image fusion processing module 430 is configured to fuse the low-resolution ring image with the high-resolution image to determine a high-resolution ring image ; The video image processing module 440 is used to obtain a high-resolution video image by encoding and integrating each of the high-resolution...

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Abstract

The embodiment of the invention discloses a video imaging method, a system, an apparatus and a storage medium based on a hybrid camera. The method comprises the following steps: acquiring at least three low-resolution images captured by a wide-field camera and acquiring high-resolution images captured by a narrow-field camera; obtaining a high-resolution image captured by a narrow-field camera; obtaining a low-resolution image by mosaic that low-resolution images; fusing the low-resolution annular image and the high-resolution image to determine a high-resolution annular image; obtaining a high-resolution video image by encoding and integrating each of the high-resolution ring images. The technical proposal of the embodiment of the invention realizes that the high-resolution image and thelow-resolution image taken by the narrow-field camera and the wide-field camera respectively are combined together and a series of algorithms are adopted to process the high-resolution image and the low-resolution image to obtain the video image with gigapixel level resolution. The resolution of the video image and the technical effect of the spectral dimension are improved.

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...

Claims

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Application Information

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IPC IPC(8): H04N5/232
CPCH04N23/951H04N23/698
Inventor 方璐戴琼海朱天奕
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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