Method and device for identifying blurred image, equipment and computer readable storage medium

A technology for blurring images and images, applied in the field of image processing, can solve problems such as low efficiency, high error rate, and inability to meet the timeliness and accuracy of blurred image recognition, so as to improve efficiency and accuracy, improve accuracy, and improve The effect of efficiency and accuracy

Active Publication Date: 2020-11-10
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, it is often necessary to identify and analyze a large number of images. If the images are manually screened, not only the efficiency is not high, but the error rate is high, which cannot meet the timeliness and accuracy of fuzzy image recognition.

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  • Method and device for identifying blurred image, equipment and computer readable storage medium
  • Method and device for identifying blurred image, equipment and computer readable storage medium
  • Method and device for identifying blurred image, equipment and computer readable storage medium

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Embodiment Construction

[0058]It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0059] The executor of the method for identifying blurred images provided in the embodiments of the present application includes but is not limited to at least one of electronic devices such as a server and a terminal that can be configured to execute the method provided in the embodiments of the present application. In other words, the method for identifying blurred images can be implemented by software or hardware installed on the terminal device or server device, and the software can be a block chain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, and the like.

[0060] The invention provides a method for recognizing blurred images. refer to figure 1 As shown in , it is a schematic flowchart of a method for recognizing blurred image...

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Abstract

The invention relates to an image processing technology, and discloses a method for identifying a blurred image, which comprises the following steps of: generating disturbance data for a training image; synthesizing the disturbance data and the training image to obtain a training blurred image; utilizing the training blurred image to train an image blurring discrimination model to obtain a first image blurring discrimination model and a training prediction result; calculating an error value between the training prediction result and a preset fuzzy label; collecting the training blurred imagesof which the error values are greater than an error threshold value into an error sample training set; training the first image fuzzy discrimination model by using the error sample training set to obtain a second image fuzzy discrimination model; and inputting the to-be-judged image into the second image fuzzy judgment model to obtain a judgment result. The invention provides a method and device for identifying the blurred image, equipment and computer readable storage medium In addition, the invention also relates to blockchain technology, and the to-be-judged image can be stored in a blockchain node. According to the invention, the efficiency and accuracy of identifying the blurred image can be improved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method, device, electronic equipment and computer-readable storage medium for recognizing blurred images. Background technique [0002] With the development of computer technology, image-based analysis has become more and more common. For example, using satellite images to analyze weather changes, using road images to analyze road conditions, etc. The clarity of the image plays an important role in the accuracy of the analysis results. [0003] In the prior art, the method for judging whether an image is a blurred image is mostly to manually screen and mark the image. However, in practical applications, it is often necessary to identify and analyze a large number of images. If the images are manually screened, the efficiency is not high, and the error rate is high, which cannot meet the timeliness and accuracy of fuzzy image recognition. Therefore, how to im...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/23G06F18/214Y02T10/40
Inventor 雷晨雨沈冬明张国辉宋晨
Owner PING AN TECH (SHENZHEN) CO LTD
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