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Texture feature-based image quality evaluating method without reference

A technology of reference image and quality evaluation, applied in image data processing, image enhancement, image analysis and other directions, can solve problems such as difficult promotion, time-consuming and labor-intensive

Inactive Publication Date: 2017-02-15
TIANJIN UNIV
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  • Application Information

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Problems solved by technology

Among them, the subjective image quality evaluation method means that the human eye directly observes the image and judges the image quality. This method is consistent with human subjective feelings, but it is time-consuming and labor-intensive, and it is difficult to be widely promoted.

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  • Texture feature-based image quality evaluating method without reference
  • Texture feature-based image quality evaluating method without reference
  • Texture feature-based image quality evaluating method without reference

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Embodiment Construction

[0012] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0013] The present invention proposes a no-reference image quality evaluation method based on image texture features, and its overall realization block diagram is as follows figure 1 As shown, the specific process is as follows: firstly, the image is decomposed by 3-scale wavelet transform and feature extraction of local binary pattern to obtain the wavelet transform detail subgraph and local binary pattern feature map of the image; then the wavelet subgraph and local binary pattern feature map are calculated; The gray level co-occurrence matrix of the pattern map, and calculate the contrast, correlation, energy and homogeneity of the gray level co-occurrence matrix, and use the obtained feature parameters as the feature vector of the image; finally, use the support vector regression model to analyze the feature vector and The corresponding subjective quality...

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Abstract

The invention relates to a texture feature-based image quality evaluating method without reference. The texture feature-based image quality evaluating method includes the steps of conducting three-scale wavelet transform decomposition for an image I to obtain nine high-frequency detailed subgraphs, calculating a local binary atlas of the image I by using a local binary mode, calculating the gray co-occurrence matrix of the sub-graphs and the local binary atlas respectively to obtain ten Gh, calculating the four feature parameters of the Gh, namely contrast, correlation, energy and homogeneity, and taking the average of the feature parameters of the horizontal detailed wavelet subgraphs and vertical detailed wavelet subgraphs under same wavelet transform decomposition scale to obtain a 24-dimensional eigenvector, and conducting network training to obtain a prediction model. The texture feature-based image quality evaluating method can effectively improve the correlation between the objective evaluation result and the subjective perception.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a no-reference image quality evaluation method. Background technique [0002] With the rapid development and popularization of Internet technology, the multimedia content based on images and videos is increasing. In order to satisfy people's visual enjoyment, it is necessary to continuously improve the performance of image processing systems. Image quality is an important index to measure the performance of image processing system and improve the parameters of image processing system, and plays an important role in the development of image processing technology. [0003] Image quality evaluation methods can be divided into two categories: subjective evaluation and objective evaluation. Among them, the subjective image quality evaluation method means that the human eye directly observes the image and judges the image quality. This method is consistent with the subjective feel...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06T7/45
CPCG06T7/0002G06T2207/20081G06T2207/30168
Inventor 侯春萍马彤彤岳广辉刘月冯丹丹
Owner TIANJIN UNIV
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