Image quality detection method and device, electronic equipment and storage medium
An image quality and detection method technology, applied in the field of image processing, can solve problems such as the inability to reflect the actual quality of the image, huge human resources, and the influence of human factors, so as to improve the evaluation effect, deploy quickly, and meet application requirements.
Active Publication Date: 2020-05-19
THUNDER SOFTWARE TECH
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Problems solved by technology
How to efficiently use image data for processing is the key to a large number of image data. For example, when testing the photo effect, the actual quality of the image cannot be well reflected due to the subjective judgment of the human eye.
When selecting photos, if you manually select images of appropriate quality from a large amount of data, it will not only cause huge human resources, but also be affected by human factors, and there is no guarantee that all the selected images are suitable.
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[0024] Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that the present application can be more thoroughly understood, and the scope of the present application can be fully conveyed to those skilled in the art.
[0025] In general, there are three image quality assessment schemes, which are full-reference image quality assessment, semi-reference image quality assessment and no-reference image quality assessment. No-reference image quality evaluation does not require any reference information, and can directly evaluate the noise level and blur degree in the image objectively, and this evaluation is close to or consistent wi...
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The invention discloses an image quality detection method and device, electronic equipment and a storage medium. The method comprises the steps: carrying out the local rank transformation of an obtained target image, and obtaining a local rank image; obtaining a local rank feature according to the local rank image; obtaining a quality score of the target image according to the local rank featuresand a pre-trained image quality detection model; and determining the quality of the target image according to the quality score. According to the technical scheme of the embodiment of the invention, the method achieves the precise prediction of the fuzziness and noise level in the image, and improves the image quality detection effect.
Description
technical field [0001] The present application relates to the technical field of image processing, in particular to an image quality detection method, device, electronic equipment and storage medium. Background technique [0002] With the development of electronic equipment, especially the development of smart cameras, the amount of image data has shown explosive growth. How to efficiently use image data for processing among numerous image data is the key. For example, when testing the effect of photographing, the actual quality of the image cannot be well reflected due to the subjective judgment of the human eye. When selecting photos, if you manually select images of appropriate quality from massive data, it will not only cause huge human resources, but also be affected by human factors, and it cannot be guaranteed that all the images selected are suitable. Therefore, an objective image quality detection and evaluation scheme with more accurate evaluation results is neede...
Claims
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Login to View More IPC IPC(8): G06T7/00G06K9/46
CPCG06T7/0004G06T2207/30168G06V10/44
Inventor 胡伦庭
Owner THUNDER SOFTWARE TECH