Imaging method of binocular camera and apparatus thereof

Abstract

The invention relates to the digital image processing technology field and discloses a binocular camera imaging control method used for video stitching and an apparatus thereof. The binocular camera imaging method comprises the following steps of carrying out stitching fusion on two current images collected by a binocular camera in a current frame; calculating a fusion luminance difference and a fusion color difference of a fusion area of the current images before the fusion and after the fusion; according to the fusion luminance difference and the fusion color difference, adjusting a shooting parameter of the camera used to shoot the current images; and making the camera used to shoot the current images shoot a next frame of images withan adjusted shooting parameter. In the invention, brightness and colors of the cameras can be controlled from an aspect of a video source so that the brightness and the colors of the fusion area and a non-fusion area are close to each other after stitching fusion is performed on the next frame of two images; and a condition that an integral stitching effect generated through fusion is not uniform because the difference of the brightness or the colors of the two cameras is great is avoided.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to an imaging technology of a binocular camera. Background technique [0002] The purpose of video splicing and fusion is to make the brightness and color of the spliced ​​video image balanced, and the transition is natural. The existing fusion technologies are basically based on image processing of spliced ​​video frames, adjusting the brightness and color of the image, and some are based on camera color calibration. The method makes the color values ​​collected by multiple cameras basically close to each other. The advantages and disadvantages of several commonly used fusion and related methods are introduced below. [0003] 1) Method based on image fusion: [0004] This method is a commonly used fusion method for splicing videos. This method fuses the splicing results with conventional image fusion methods for the data of each frame of the video, such as alpha ...

AI Technical Summary

Problems solved by technology

[0014] a. The brightness adjustment only adopts the gain adjustment scheme. In the case of strong forward light, backlight or large difference in brightness between far and near, a single gain adjustment is not sufficient for over-exposure or over-dark suppression adjustment.

[0015] b. Only the brightness value of one camera is controlled, and the imaging adjustment of the two cameras is not considered comprehensively

Images