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Image quality level classification-based image quality assessment method

A technology of image quality and evaluation method, applied in the field of image processing, to achieve the effect of good performance

Inactive Publication Date: 2015-02-11
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0005] There are many image quality assessment methods, but few people have studied the influence of image quality level on the prediction accuracy of image quality assessment methods

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  • Image quality level classification-based image quality assessment method

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Embodiment Construction

[0024] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0025] like figure 1As shown, this embodiment provides a picture quality evaluation method based on the classification of picture quality levels—the DIP method, which uses different visual perception mechanisms of people in low-quality and high-quality situations, and classifies the picture quality levels. Similar structural similarity methods (SSIM, MS-SSIM) are used for high-quality images, and similar visual information fidelity methods (VIF, VIFP) are used for low-quality images to evaluate im...

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Abstract

The invention provides an image quality level classification-based image quality assessment method, which comprises the following steps of 1, performing image quality level classification to divide images into high-quality level images and low-quality level images; 2, assessing the image quality of the high-quality level images by virtue of a class structural similarity method, and assessing the image quality of the low-quality level images by virtue of a class visual information fidelity method. According to the method, different visual perception mechanisms of a user under low-quality and high-quality conditions are used for image quality level classification, the class structural similarity method is used for assessing the image quality of the high-quality level images, and the class visual information fidelity method is used for assessing the image quality of the low-quality level images, so that performance higher than that of a mainstream image quality assessment method is achieved.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a method for evaluating picture quality based on picture quality level classification. Background technique [0002] Image quality assessment techniques play a very important role in many image processing applications, such as the development and optimization of image compression, storage, transmission, and reconstruction methods. Today's image quality evaluation methods can be divided into subjective evaluation and objective evaluation. Subjective evaluation is the ultimate standard of image quality, but subjective evaluation is usually not realistic for actual image processing systems. In recent years, many researchers have invested in objective image quality evaluation methods, which can be divided into three types: full-parameter, semi-parametric and non-parametric methods according to whether the original image can be obtained. [0003] Although the mean sq...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06K9/66
CPCG06T7/0002G06T2207/30168
Inventor 杨小康闵雄阔翟广涛顾锞
Owner SHANGHAI JIAO TONG UNIV