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A method and system for subjective evaluation of image quality with large sample capacity

A technology for image quality and subjective evaluation, applied in image analysis, image enhancement, image data processing and other directions, it can solve the problems of small sample size and poor reliability, and achieve the effect of improving reliability.

Active Publication Date: 2020-11-24
CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI
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  • Abstract
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  • Application Information

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Problems solved by technology

[0009] Aiming at the problems of small sample size and poor reliability in the existing subjective evaluation method of TID2013 database, the embodiment of the present invention proposes a subjective evaluation method of image quality with large sample size

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  • A method and system for subjective evaluation of image quality with large sample capacity
  • A method and system for subjective evaluation of image quality with large sample capacity
  • A method and system for subjective evaluation of image quality with large sample capacity

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Embodiment Construction

[0029] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0030] The terms "first", "second", "third", "fourth", etc. (if any) in the description and claims of the present invention and the above drawings are used to distinguish similar objects and not necessarily Describe a specific order or sequence. It is to be understood that the terms so used are interchangeable under appropriate cir...

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Abstract

The embodiment of the present invention discloses a method and system for subjective evaluation of image quality with large sample capacity. The subjective evaluation method of image quality with a large sample size includes three steps: cyclic integral sorting, optimal selection sorting, and order adjustment. The cyclic integral sorting step can preliminarily classify and sort the quality of all samples, and select several pictures from all samples. As a flag, the sequence is continuously optimized through the optimal selection sorting step and the sequence adjustment step, and finally an accurate image quality ranking is obtained. This method effectively improves the reliability and accuracy of subjective evaluation, and the result reflects human visual characteristics more profoundly. The embodiment of the present invention also provides an image quality evaluation system corresponding to the proposed image quality subjective evaluation method, including a preliminary measurement integration module, a first ranking module, an optimal ranking module and a sequence adjustment module. The method and system proposed by the embodiments of the present invention can be applied to the original data collection work of the image quality database with large sample capacity.

Description

technical field [0001] The invention relates to the technical field of image quality evaluation in image recognition, in particular to a method and system for subjective evaluation of image quality with large sample capacity. Background technique [0002] Image is the main source for artificial intelligence to obtain external information. In the process of acquisition, storage and display, due to the influence of factors such as noise, defocus, packet loss and color distortion, the image quality will be reduced to varying degrees. Image quality directly affects the amount of computer information obtained, so the evaluation method of image quality has important research significance and application value. It has been widely used in camera automatic adjustment and focus, image or video compression, reconstruction, enhancement and other technologies. It involves computer vision, machine learning, neural network, artificial intelligence and other fields. [0003] Studying the e...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/54G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 刘阳王伟国姜润强刘廷霞王鹤琪
Owner CHANGCHUN INST OF OPTICS FINE MECHANICS & PHYSICS CHINESE ACAD OF SCI