Image splicing method based on camera array and imaging device

Abstract

The invention discloses an image splicing method based on a camera array and an imaging device, the camera array comprises a group of local camera arrays and a global camera, the splicing method is applied to a computing device, and the splicing method comprises the following steps: obtaining a global reference image shot by the global camera and a group of local image groups shot by the local camera arrays; determining the position of each local image in the local image group relative to the global reference image according to a distance constraint condition and a similarity algorithm; splicing a group of local image groups according to the global reference image to form a primary spliced image; detail correction and / or color correction are / is carried out on the adjacent local images in the local image group spliced into the primary spliced image; and outputting the spliced global spliced image. Through the distance constraint condition and the similarity algorithm, the position of each local image relative to the global reference image can be quickly determined, the splicing speed is improved, and the robustness of the splicing area is better.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image stitching method and an imaging device based on a camera array. Background technique [0002] The International Telecommunication Union (International Telecommunication Union, or ITU) released the international standard for ultra-high-definition television (UltraHDTV), namely ITU-R Recommendation BT.2020, on August 23, 2012. Various parameters and indicators of ultra-high-definition video display, the resolution, color space, frame rate, color coding, etc. of ultra-high-definition video display are regulated accordingly. As people have higher and higher requirements for the clarity of images and videos, that is, the resolution of images and videos, more and more fields, such as public transport management centers, national defense, combat command centers, railway management centers and civilian fields, etc. , have introduced a large number of ultra-high-definit...

AI Technical Summary

Problems solved by technology

However, the existing array camera stitching methods have the problems of slow calculation in the stitching process, poor stitching robustness, and difficult color correction at the stitching point, and cannot obtain the best stitching effect.

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