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Determination method of image correction, terminal, and computer readable storage medium

An image correction and image technology, applied in computing, image enhancement, image analysis, etc., can solve the problems affecting the stability and accuracy of background blur, and the accuracy of stereo correction is not high, so as to improve the accuracy of judgment and processing, improve The effect of stability and precision

Pending Publication Date: 2018-02-09
NUBIA TECHNOLOGY CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In the process of realizing the present invention, the inventor found the following problems in the prior art: in the process of image processing, the accuracy of stereo correction is not high, which easily affects the stability and accuracy of background blur

Method used

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  • Determination method of image correction, terminal, and computer readable storage medium
  • Determination method of image correction, terminal, and computer readable storage medium
  • Determination method of image correction, terminal, and computer readable storage medium

Examples

Experimental program
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no. 1 example

[0069] In order to facilitate understanding of this embodiment, the ORB algorithm adopted in this embodiment is introduced as follows:

[0070]ORB (Oriented FAST and Rotated BRIEF) is a fast feature point extraction and description algorithm, which consists of directional FAST (Features from Accelerated Segment Test) key points and rotating BRIEF (Binary Robust Independent Elementary Features) The composition of feature descriptors.

[0071] 1. The FAST algorithm is recognized as the fastest feature point extraction method, and its feature point extraction schematic diagram can be referred to Figure 7 As shown, the steps are as follows:

[0072] 1) Extraction of preliminary feature points.

[0073] Such as Figure 7 As shown, select a point P from the image. With P as the center, draw a circle with a radius of 3 pixels. If the gray value of n consecutive pixels on the circumference is larger or smaller than the gray value of point P, then P is considered as a feature poi...

no. 2 example

[0139] refer to Figure 6 , Figure 6 A terminal is provided for the second embodiment of the present invention. The terminal 40 includes: a memory 41, a processor 42, and an image correction judgment program stored in the memory 41 and operable on the processor 42. When the image correction judgment program is executed by the processor 42, it is used to realize the following steps of the image correction judgment method:

[0140] Obtaining a corrected binocular image, the binocular image including a first image taken by the first camera and a second image taken by the second camera;

[0141] Obtaining all matching key points in the first image and the second image;

[0142] Compute the average row error for all matched keypoints;

[0143] The rectification accuracy of the binocular image is determined based on the calculated average row error of all matched keypoints.

[0144] When the image correction judging program is executed by the processor 42, it is also used to im...

no. 3 example

[0171] The third embodiment of the present invention provides a computer-readable storage medium, the computer-readable storage medium stores an image correction judgment program, and when the image correction judgment program is executed by a processor, it implements the first embodiment. The steps of the judgment method of the image correction.

[0172] The computer-readable storage medium provided by the embodiment of the present invention determines the correction accuracy of the binocular image according to the average line error of all matched key points by obtaining all matched key points in the corrected binocular camera; Correction judgment and processing accuracy, while improving the stability and accuracy of background blur.

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Abstract

The invention discloses a determination method of image correction, a terminal, and a computer readable storage medium. The determination method of image correction includes the steps: acquiring a binocular image after correction, wherein the binocular image includes a first image shot by a first camera and a second image shot by a second camera; acquiring all the matched key points in the first image and the second image; calculating the average row error of all the matched key points; and according to the calculated average row error of all the matched key points, determining the correctionprecision of the binocular image. The determination method of image correction can determine the correction precision of the binocular image by acquiring all the matched key points in the corrected binocular cameras and according to the average row error of all the matched key points, so as to improve the precision of determination and processing of stereo correction and improve stability and accuracy of bokeh.

Description

technical field [0001] The present invention relates to the technical field of terminals, and in particular to a judging method for image correction, a terminal and a computer-readable storage medium. Background technique [0002] With the development of mobile terminal technology, mobile terminals with a camera function have been popularized in people's lives. Mobile terminals with more and more functions have greatly facilitated people's lives. In recent years, with the rapid development of image processing technology, the photographing function of mobile terminals has become increasingly powerful. In addition to the advantages of convenient portability of mobile terminals, more and more users prefer to take pictures through mobile terminals. [0003] In order to improve the photographing effect of mobile terminals, more and more mobile terminals use dual cameras. The photos taken by the mobile terminal with dual cameras have a higher effect and clearer picture quality t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06T7/30G06T7/80
CPCG06T7/30G06T7/85G06T5/80
Inventor 徐爱辉
Owner NUBIA TECHNOLOGY CO LTD
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