Image fusion method, device and unmanned aerial vehicle

Abstract

Provided is an image fusion method, device and unmanned aerial vehicle. The method comprises following steps: performing bit plane layering on an original image of a frame to obtain a plurality of bitplanes of the original image, wherein the bit number of the original image is M, and M is an integer greater than 1; obtaining a plurality of frames of reconstructed images according to a plurality of bit planes, wherein the bit planes corresponding to different reconstructed images are not identical, and the bit number of each reconstructed image is N, and N is a positive integer smaller than M;fusing multi-frame reconstructed images to obtain a fused image of the original image. As the multi-frame reconstructed images directly come from the same frame image, thus ensuring the consistency of the image scene, it can be directly applied to exposure fusion without image registration, and the resulting fusion image will not contain ghost images. Compared with the prior art, the invention can avoid image blurring conveniently, highlight darkness and highlighted details at the same time, on the other hand, can reduce the algorithm resource overhead of image fusion.

Description

[0001] Copyright statement [0002] The disclosure of this patent document contains material that is protected by copyright. This copyright belongs to the copyright owner. The copyright owner has no objection to the reproduction by anyone of the patent document or the patent disclosure as it exists in the official records and files of the Patent and Trademark Office. technical field [0003] The present application relates to the field of image processing, and more specifically, relates to an image fusion method, device and drone. Background technique [0004] A high-dynamic range image (HDRI) is an image with a very wide brightness range. Compared with ordinary images, high dynamic range images can provide more dynamic range and image details. [0005] Currently, multi-frame exposure fusion techniques are used to synthesize high dynamic range images. Multi-frame exposure fusion technology refers to using multiple frames of different exposure images of the same scene to ...

AI Technical Summary

Problems solved by technology

In actual situations, the movement of the operator or the carrier will cause the movement of the camera, which will make the scenes of the captured multi-frame images inconsistent, resulting in blurred images, or the movement of objects in the scene will cause their positions in the multi-frame images to change , causing ghosting in the final composite image

The existing technology uses image registration to calibrate the image sequence to solve the image blur phenomenon in the multi-frame exposure fusion technology, but this solution requires a large algorithm resource overhead

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