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Image quality assessment method based on probabilistic graphical model

A technology of image quality assessment and probabilistic graphical model, which is applied in image analysis, image data processing, character and pattern recognition, etc. It can solve the problem of not providing a probabilistic graphical model, difficulty in obtaining undistorted images, and incomplete probabilistic latent semantic analysis models, etc. question

Inactive Publication Date: 2015-07-08
STATE GRID CORP OF CHINA +2
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Problems solved by technology

This method needs to provide both undistorted and distorted images, but usually undistorted images are difficult to obtain
(2) No reference image quality assessment method
However, the probabilistic latent semantic analysis model is not complete and does not provide a suitable probabilistic graphical model at the document level, so that the probabilistic latent semantic analysis model is not a complete generative model, and the model must be randomly sampled when the document is determined

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  • Image quality assessment method based on probabilistic graphical model
  • Image quality assessment method based on probabilistic graphical model
  • Image quality assessment method based on probabilistic graphical model

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Embodiment Construction

[0033] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0034] Such as figure 1 As shown, an image quality assessment method based on a probabilistic graphical model includes the following steps:

[0035] Step 1, select the training image I 1 …IN ; The training images here are all undistorted images.

[0036] Step 2: Establish a probabilistic graphical model based on the training images.

[0037] The process is as follows:

[0038] (a1) The training image I n Divided into N d region, the training image I n The i-th region I of ni with a sight word w i Description, training image I n Set W with sight words n Description, where i∈[1,N d ], I n ∈{I 1 …I N}, n ∈ {1,...,N}, sight word w i are visual words in the visual dictionary;

[...

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Abstract

The invention discloses an image quality assessment method based on a probabilistic graphical model to overcome the defect of a probabilistic latent semantic analysis model. Topic probability distribution of a test image is estimated based on a probabilistic graphical model, the perceived quality score of the test image is calculated by comparing the topic probability distribution of the test image with topic probability estimation of an undistorted image, and a good image quality assessment result can be obtained without the need for distorted image information.

Description

technical field [0001] The invention relates to an image quality evaluation method based on a probability graph model, which belongs to the field of objective image quality evaluation. Background technique [0002] The rapid development of mobile Internet has promoted the continuous progress of handheld mobile device technology. In order to improve the quality-of-experience (QoE) of end users, a large number of researchers have invested in the research of image quality assessment technology. [0003] Image quality assessment methods are mainly divided into subjective image quality assessment methods and objective image quality assessment methods. The former obtains the subjective evaluation of the image quality by testing the image quality with human eyes, which has high reliability, but has high requirements for the test environment and the process is complicated. The latter imitates human vision by computer, and obtains the description of image distortion according to the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/62
Inventor 罗旺余磊冯敏张天兵洪功义彭启伟李志海
Owner STATE GRID CORP OF CHINA
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