Depth image correction method, terminal equipment and computer storage medium

Abstract

The embodiment of the invention discloses a depth image correction method, terminal equipment and a computer storage medium. The depth image correction method comprises the steps: obtaining an original image corresponding to a target object and a main color image and an auxiliary color image corresponding to the target object, wherein the original image is obtained by collecting a target object according to a time-of-flight TOF sensor, and the main color image and the auxiliary color image are obtained by collecting the target object according to double cameras; according to the main color image and the auxiliary color image, determining first depth information and first confidence corresponding to the target object by using a preset double-camera algorithm; determining second depth information corresponding to the target object according to the original image; determining an error data area in the first depth information based on the first depth information, the second depth information and the first confidence coefficient; and performing correction processing on the error data area through the second depth information and the main color image to obtain target depth information, and obtaining a depth image according to the target depth information.

Description

technical field [0001] The present application relates to the technical field of image processing, and in particular to a method for correcting a depth image, a terminal device, and a computer storage medium. Background technique [0002] With the rapid development of smart terminals, mobile phones, handheld computers, digital cameras, video cameras and other terminal devices have become an indispensable tool in users' lives, and have brought great convenience to all aspects of users' lives. Existing terminal equipment basically has a camera function, and users can use the terminal equipment to take various images. [0003] When capturing images with a blur effect, it is usually required that the terminal device be equipped with dual cameras. Obtaining depth (depth) information through dual cameras, although the structure is simple, the hardware power consumption is low, and the resolution is high, there are still defects, such as poor adaptability to scenes such as no text...

AI Technical Summary

Problems solved by technology

Obtaining depth (depth) information through dual cameras, although the structure is simple, the hardware power consumption is low, and the resolution is high, there are still defects, such as poor adaptability to scenes such as no texture, repeated texture, overexposure, underexposure, etc., resulting in The accuracy of the obtained depth information is low, which affects the effect of portrait blur

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