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Reference-free image quality evaluation method

An image quality evaluation and image quality technology, applied in the field of image processing, can solve problems such as no reference image quality evaluation method, and achieve the effect of good evaluation effect, high accuracy and robustness

Inactive Publication Date: 2020-06-19
SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV
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Problems solved by technology

[0007] In order to solve the existing problems, the present invention provides a reference-free image quality evaluation method

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Embodiment Construction

[0054] In order to make the technical problems, technical solutions and beneficial effects to be solved by the embodiments of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0055] It should be noted that when an element is referred to as being “fixed” or “disposed on” another element, it may be directly on the other element or be indirectly on the other element. When an element is referred to as being "connected to" another element, it can be directly connected to the other element or indirectly connected to the other element. In addition, the connection can be used for both fixing function and circuit communication function.

[0056] It is to be understood that the terms "length", "width", "top", "bottom", "front"...

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Abstract

The invention provides a reference-free image quality evaluation method, which comprises the steps of constructing a training data set of distorted images, extracting texture features, structural features, naturalness features and sparsity features of each distorted image in the training data set, and further extracting features describing image quality; inputting the extracted features and the corresponding subjective scores into a support vector regression model to train the regression model; and evaluating the quality of the distorted image to be evaluated by using the trained regression model. According to the method, the quality of the image can be accurately predicted, the quality of the image is comprehensively measured, a good evaluation effect on various distortion types is achieved, and the accuracy and robustness are high.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a reference-free image quality evaluation method. Background technique [0002] According to the amount of information in the reference original image, image quality assessment techniques can be divided into full-reference quality assessment, partial-reference quality assessment and no-reference quality assessment. Among them, the full reference quality evaluation refers to estimating the quality of the distorted image by referring to all the information of the original image; the partial reference image quality evaluation refers to estimating the quality of the distorted image by referring to part of the information of the original image (usually expressed as image features) ; Compared with the previous two methods, the no-reference image quality assessment predicts the quality of the distorted image without referring to the original image. Since the original image oft...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0002G06T2207/30168G06T2207/20081G06F18/22G06F18/214
Inventor 刘玉涛李秀
Owner SHENZHEN GRADUATE SCHOOL TSINGHUA UNIV