Multi-image splicing method and device

Abstract

The invention discloses a multi-image splicing method, comprising the steps that: a decoding terminal obtains region information of regions needing to be spliced in images shot by cameras to be spliced and a splicing position relation of the cameras to be spliced, and sends the obtained region information of the regions needing to be spliced to corresponding cameras; the cameras to be spliced encode the images according to the region information of the regions needing to be spliced and output images to be spliced; and the decoding terminal simultaneously display the images to be spliced output by the cameras to be spliced according to the splicing position relation to form a complete image. The invention further correspondingly discloses a multi-image splicing device. By adopting the method and the device disclosed by the invention, the images to be spliced of multiple cameras can be played at corresponding positions after being decoded to achieve an image splicing effect without subsequent image processing of the decoding terminal, thereby reducing the performance consumption of the decoding terminal, not limiting the number and resolution of the cameras to be spliced anymore, and meanwhile, enriching the image splicing usage and application scene.

Description

technical field [0001] The invention relates to the field of image processing, in particular to a multi-image splicing method and device. Background technique [0002] Due to the limited field of view of the camera, there will be multiple cameras in a relatively open scene, shooting from different parts, and splicing the images in the later stage. Since the installation positions of each camera are not necessarily on the same horizontal line, the captured images are not necessarily on the same horizontal line, and there may be overlap and redundancy in the imaging area, so the image needs to be coupled and post-processed at the decoding end , including deleting redundant parts in the imaging area of ​​each camera and then stretching to make the size consistent before image splicing to form a complete video image before storing and replaying the video image. However, the image stitching on the decoding end has the following problems: the performance consumption required for ...

AI Technical Summary

Problems solved by technology

However, the image stitching on the decoding end has the following problems: the performance consumption required for the above image processing on the decoding end is large, and if the number of cameras that need to stitch images is large, the decoding end will not be able to process

[0003] Therefore, this method of stitching images in the prior art has a relatively large limit on the number of cameras that can stitch images at the same time

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