Image processing method and device thereof, equipment and storage medium

Abstract

The invention discloses an image processing method and a device thereof, equipment and a storage medium. The method comprises the steps of obtaining a current reference region in a reference RGB image and a current to-be-calibrated region in a to-be-corrected RGB image; wherein the reference RGB image and the to-be-corrected RGB image are acquired by a multi-view camera from different angles of the same scene; respectively acquiring pixel coordinates of the current reference area and the current to-be-calibrated area, and respectively calculating pixel mean values corresponding to the current reference area and the current to-be-calibrated area according to the corresponding pixel coordinates; and obtaining a current calibration parameter according to the pixel mean value of the current reference area and the pixel mean value of the current to-be-calibrated area, and correcting the color of the to-be-corrected RGB image according to the current calibration parameter. According to the method, parameters do not need to be manually adjusted, and the colors of the images collected by different cameras can be automatically matched, so that the images reach consistent hues.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to an image processing method, device, equipment and storage medium. Background technique [0002] Existing immersive network presentation products can acquire video images through multi-eye cameras, and then display the video images on the corresponding display screens, so such products are widely used in video conferencing systems. For example, in a video conferencing system, a trinocular camera is used to obtain video images, and the collected video images are displayed on three display screens and sent to the peer end. Participants can see the images of participants and the environment in other venues, so the video images collected by the camera are related to the experience of the entire video conference. Due to the physical differences of each camera, there is a gap in the color of the captured video images. If the images of the three screens are very dif...

AI Technical Summary

Problems solved by technology

[0003] The disadvantage of using the above method is that the data collected by the camera is different in different environment settings, and manual adjustment is required each time, which is labor-intensive and ineffective, does not have maintainability, and does not have the ability to automatically adapt to changes in the environment

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