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Image quality evaluation method and device and computer readable storage medium

An image quality assessment and evaluation index technology, applied in the field of image processing, can solve the problems of reduced accuracy of image quality assessment model evaluation, time-consuming and laborious, random errors, etc.

Active Publication Date: 2021-01-12
江苏云从曦和人工智能有限公司
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Problems solved by technology

However, the manual labeling method is not only time-consuming and laborious, but also easily introduces random errors, which reduces the accuracy of the image quality assessment model.

Method used

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  • Image quality evaluation method and device and computer readable storage medium
  • Image quality evaluation method and device and computer readable storage medium
  • Image quality evaluation method and device and computer readable storage medium

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Embodiment Construction

[0118] Some embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0119] In the description of the present invention, "module" and "processor" may include hardware, software or a combination of both. A module may include hardware circuits, various suitable sensors, communication ports, memory, and may also include software parts, such as program codes, or a combination of software and hardware. The processor may be a central processing unit, a microprocessor, an image processor, a digital signal processor, or any other suitable processor. The processor has data and / or signal processing functions. The processor may be implemented in software, hardware, or a combination of the two. Non-transitory compute...

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Abstract

The invention relates to the technical field of image processing, particularly provides an image quality evaluation method and device and a computer readable storage medium, and aims to solve the technical problem of how to accurately and efficiently evaluate the quality of different types of images. Therefore, according to the image quality evaluation method provided by the embodiment of the invention, the fuzziness information of the image can be accurately obtained by analyzing the distribution condition of the pixels in the image, so that the fuzziness of the image can be accurately and quantitatively evaluated. The parameters related to the brightness in the image are acquired, comprehensive analysis is carried out according to the parameters to acquire the brightness evaluation indexvalue, so that the brightness evaluation index value is closer to the brightness value of the image obtained by using a manual evaluation mode, and the brightness information of the image under different brightness conditions can be quickly and accurately quantitatively evaluated.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to an image quality assessment method, an apparatus and a computer-readable storage medium. Background technique [0002] Target tracking is mainly to determine the target trajectory by tracking and analyzing the continuous image time series including the target picture. However, factors such as the installation angle of the image acquisition device, the light, weather, and background of the target environment often lead to poor image quality, such as image blur, poor contrast, and poor brightness. Therefore, it is necessary to evaluate the image quality. High-quality images are used for target tracking to improve the accuracy and reliability of target tracking. [0003] At present, traditional image quality assessment methods mainly include image quality assessment methods for a single image type and image quality assessment methods for multiple image types. ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/90G06K9/62G06N3/04
CPCG06T7/0002G06T7/90G06T2207/10004G06T2207/20081G06T2207/20084G06T2207/30168G06N3/045G06F18/23G06F18/241
Inventor 姚志强周曦郝冬冬
Owner 江苏云从曦和人工智能有限公司
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