Method and system for overcoming color mutation in image fusion

Abstract

The invention discloses a method, a system and a panorama device for overcoming color mutation in image fusion. The method is applicable to panoramic equipment including N imaging devices, and includes: performing quantitative processing on image electrical signals collected by each imaging device to form respective images to be fused of the panoramic image; calculating the deviation of fusion regions of adjacent images to be fused Amount; performing gain adjustment on each of the images to be fused, so that the deviation of the fused regions of the adjacent images to be fused is within a preset range. Through the technical solution provided by the present invention, the output luminance and chromaticity of the fused regions of all adjacent images to be fused can be basically kept consistent, and the problem of effectiveness and resources in adjusting luminance and chromaticity through image processing algorithms can be overcome. Excessive consumption issues as well as processing efficiency issues.

Description

technical field [0001] The invention relates to the technical field of image splicing, in particular to a method and system for overcoming color mutation in image fusion. Background technique [0002] Image mosaic technology is the technology of stitching several images with overlapping parts into a panorama, in which the several images with overlapping parts are imaging under different viewing angles. [0003] The imaging under different viewing angles is simultaneously obtained by multiple (two or more) imaging devices (such as cameras). Typical applications of this type of image stitching technology are multi-camera stitching panoramic cameras, panoramic parking, etc. . As one of the key technologies of image stitching, image fusion is to superimpose the overlapping areas of the fields of view of the images to be fused, that is, the fusion area, to obtain a stitched and reconstructed seamless panoramic image. However, from the aforementioned introduction to the image st...

AI Technical Summary

Problems solved by technology

[0005] 1. It is difficult to solve the problem of brightness and chromaticity differences between images to be fused from the root cause, and will be inherently affected by the effectiveness of image processing algorithms;

[0006] 2. The image processing algorithm is usually relatively complex, which will cause a large consumption of system application resources; and as the image resolution increases, the consumption will also increase sharply;

[0007] 3. The consumption of system application resources leads to a decrease in processing efficiency

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