Image processing method and device before image stitching, and image stitching method and device

Abstract

The invention provides an image processing method and device before image splicing, and an image splicing method and device, wherein the image processing method before image splicing includes: acquiring an image to be processed; determining a target area; calling a two-dimensional linear scaling mechanism to be processed The image is stretched in the first direction, and the output image after being processed by the two-dimensional linear scaling mechanism is used as the image stretched in the first direction; the two-dimensional linear scaling mechanism is invoked to stretch the image stretched in the first direction in the second direction. processing, the output image after being processed by the two-dimensional linear scaling mechanism is used as the image for image stitching. By setting a two-dimensional linear scaling mechanism to perform secondary scaling processing on the image to be processed, the invention realizes the correction of the image, reduces the code amount of the correction processing, simplifies the programming algorithm and the execution process, reduces the image transmission delay, and improves the system efficiency.

Description

technical field [0001] The invention relates to the technical field of video image preprocessing, in particular to an image processing method and device before image splicing, and an image splicing method and device. Background technique [0002] At present, in terms of image display, users' demands for large screens, wide viewing angles, and low latency are gradually increasing. In order to meet the above requirements, multiple cameras such as 3 are often fixedly placed at a certain angle in image acquisition to increase the viewing angle range, and multiple such as 3 screens are used for splicing display to meet the above requirements of users. This requires the input images of multiple cameras to be seamlessly spliced ​​and displayed on multiple screens. The existing image stitching methods mainly include the following three categories: [0003] The first category: image fusion stitching method. This method uses the steps of feature point extraction, coordinate transfo...

AI Technical Summary

Problems solved by technology

Although this method is relatively simple to implement, there is still a problem that different correction processing mechanisms need to be used according to different images. For example, for images that are tilted in the horizontal or vertical direction, it is necessary to use a small-angle rotation mechanism to correct the image. Correction processing; for images captured by a camera with a pitch (left and right tilt) angle (the captured image is out of proportion up and down or left and right), an angle adjustment mechanism is required,

The implementation process of each of the above-mentioned mechanisms requires different processing mechanisms, which makes the amount of program code for image correction and splicing very large and the processing flow is many, resulting in slow image processing.

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