Image exposure degree evaluation method and device

An evaluation method and exposure technology, applied in the field of communication, can solve problems such as inaccurate exposure detection, and achieve the effect of solving inaccurate detection

Active Publication Date: 2018-07-06
ZTE CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] Embodiments of the present invention provide a method and device for evaluating image exposu

Method used

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  • Image exposure degree evaluation method and device
  • Image exposure degree evaluation method and device

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Embodiment 1

[0035] In this embodiment, a method for evaluating image exposure is provided, figure 1 is a flowchart of an evaluation method for image exposure according to an embodiment of the present invention, such as figure 1 As shown, the process includes the following steps:

[0036] Step S102, acquiring the skewness feature of the image to be detected;

[0037] Step S104, using a regression model to analyze the skewness feature, and determining the exposure of the image to be detected according to the skewness feature, wherein the regression model is trained by machine learning using multiple sets of sample images, and the multiple sets of sample images The images include images with different exposures.

[0038] Through the present invention, a large number of images with different exposures are used to train a regression model through machine learning, and then the skewness feature of the image to be detected is obtained, and the regression model is used to analyze the skewness f...

Embodiment 2

[0129] In this embodiment, a device for evaluating image exposure is also provided, and the device is used to implement the above embodiments and preferred implementation modes, and what has already been described will not be repeated. As used below, the term "module" may be a combination of software and / or hardware that realizes a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.

[0130] According to another embodiment of the present invention, a device for evaluating image exposure is also provided, including:

[0131] An acquisition module, configured to acquire the skewness feature of the image to be detected;

[0132] A determining module, configured to use a regression model to analyze the skewness feature, and determine the exposure of the image to be detected according to the skewness feat...

Embodiment 3

[0140] According to another embodiment of the present invention, there is also provided a processor, the processor is configured to run a program, wherein, when the program is running, the method described in any one of the above embodiments is executed.

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Abstract

The invention provides an image exposure degree evaluation method and device. The above method comprises steps: a large number of images with different exposure degrees are used to train a regressionmodel through machine learning; and the skewness features of a to-be-detected image are acquired, and the regression model is used to analyze the skewness features to obtain the exposure degree of theimage. By adopting the above scheme, the problem of inaccurate image exposure degree detection in a related technology can be solved, and the image exposure degree can be determined quickly and accurately.

Description

technical field [0001] The present invention relates to the communication field, in particular to an image exposure evaluation method and device. Background technique [0002] In related technologies, images, as the main source of visual information, contain a large amount of valuable information. However, some interference factors will inevitably be introduced in the process of image acquisition, storage, transmission, display, etc., and the visibility of these losses Having a huge impact on the consumer experience, a reliable assessment of image quality plays an important role in accepting the promised quality of service and improving the end user's quality of experience. [0003] In the past 20 years, research in the field of Image Quality Assessment (IQA) has received extensive attention, and related methods for predicting image quality have been widely used in various image processing, such as image compression, transmission, restoration, and enhancement. etc. [0004...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 胡文迪李飞张林张荔郡
Owner ZTE CORP
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