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Picture quality evaluation method and device, computer equipment and storage medium

A picture quality and picture technology, applied in the field of artificial intelligence, can solve the problems of limiting the performance and application scope of image quality evaluation, save data collection time and money, quickly and efficiently evaluate image quality, and solve the effect of difficult data collection.

Pending Publication Date: 2022-03-25
CHINA PING AN PROPERTY INSURANCE CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this two-stage architecture model severely limits the performance and application scope of image quality assessment.

Method used

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  • Picture quality evaluation method and device, computer equipment and storage medium
  • Picture quality evaluation method and device, computer equipment and storage medium
  • Picture quality evaluation method and device, computer equipment and storage medium

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Embodiment Construction

[0041] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present application, and are not construed as limiting the present application.

[0042] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "the" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the stated features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof.

[0043] T...

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Abstract

The invention discloses a screen control method and device based on artificial intelligence, computer equipment and a storage medium. The method comprises the steps that a to-be-evaluated target picture is collected; according to M distortion type algorithms, performing M times of distortion processing on the to-be-evaluated target picture, and generating M primary distortion pictures of which the distortion degree increases progressively; sequentially carrying out descending order quality score scoring on the M primary distortion pictures as Q; respectively carrying out M times of distortion processing on each primary distortion picture after the quality score scoring; according to the size of a to-be-evaluated target picture, taking 32 * 32 small blocks as a reference, segmenting the secondary distortion picture to obtain a plurality of segmented picture blocks; sending the plurality of segmented picture blocks into a deep neural network, and calculating to obtain a quality index; and judging the quality index according to a preset evaluation standard to obtain an evaluation index of the picture quality. According to the method, the problems of data shortage and difficulty in data collection are solved, and the image quality is quickly and efficiently evaluated under the condition of no original image reference.

Description

technical field [0001] The embodiments of the present invention relate to the field of artificial intelligence, in particular to a picture quality assessment method, device, computer equipment and storage medium. Background technique [0002] With the rapid development of the Internet today, the use of computers can be used for rapid evaluation of image quality, which greatly improves work efficiency. The assessment of image quality requires the use of algorithms in the computer. Existing Image Quality Assessment (IQA) methods are mainly divided into two categories: reference and reference-less or blind. Reference image quality assessment algorithms require the original image and the distorted image to be compared to calculate the quality score. No-reference image quality assessment algorithms are mainly applied in scenarios where the original image is not accessible. [0003] There are reference algorithms that have been widely used in the quality assessment process afte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/10G06V10/764G06V10/80G06V10/82G06K9/62G06N3/04G06N3/08
CPCG06T7/0002G06T7/10G06N3/08G06T2207/10004G06T2207/30168G06N3/048G06N3/045G06F18/24G06F18/253Y02P90/30
Inventor 尹高
Owner CHINA PING AN PROPERTY INSURANCE CO LTD
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