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A Blind Evaluation Method of Cartoon Image Quality

A technology of image quality and blind evaluation, applied in the field of blind evaluation of cartoon image quality, can solve the problems of cartoon image robustness and achieve the effect of improving the accuracy of quality evaluation

Active Publication Date: 2019-07-19
HEFEI UNIV OF TECH
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  • Application Information

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Problems solved by technology

However, there is currently no effective blind image quality assessment device for cartoon images, and the quality blind assessment algorithm for natural images is not very robust to cartoon images

Method used

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  • A Blind Evaluation Method of Cartoon Image Quality
  • A Blind Evaluation Method of Cartoon Image Quality
  • A Blind Evaluation Method of Cartoon Image Quality

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Experimental program
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Embodiment Construction

[0049] In this embodiment, a kind of cartoon image quality blind assessment method, refer to figure 1 , the method may include the following steps:

[0050]Step 101: Utilize formula (1) to calculate the local gray difference value s of the cth pixel in any cartoon image I c :

[0051]

[0052] In formula (1), and Represent the gray value of the i-th neighbor pixel and the j-th neighbor pixel in the surrounding local area of ​​the c-th pixel, i,j=1,2,...,p; p represents the pixel point of the surrounding local area Total; c=1,2,...,C, C represents the total number of pixels of the cartoon image I;

[0053] Step 102: There is a big difference between the cartoon image and the natural image. The natural image has rich detailed textures, while the cartoon image is composed of lines and relatively smooth and flat areas. Therefore, the cartoon image is divided into a cartoon edge area and a cartoon background area.

[0054] Local gray difference value s c It reflects the...

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Abstract

The invention discloses a blind evaluation method for carton image quality. The method comprises the steps that a carton image is divided into a carton edge area and a carton background area accordingto the size of a difference value of local gray level; in the carton edge area, an edge quality score of the carton image is acquired by calculating the distance between a sharpness statistical histogram of a carton image edge area and a sharpness statistical priori model of a high-quality carton image; in the carton background area, a background texture score of the carton image is acquired by calculating the distance between a local quantilization coding histogram of the carton image and a texture statistical priori model of the high-quality carton image; lastly, according to the edge quality score and the background texture score, a final image quality score is obtained. The blind evaluation method for the carton image quality has the advantages that the robustness and reliability of carbon image quality evaluation can be improved, so that the evaluation of the carton image quality is more consistent with human visual perception.

Description

technical field [0001] The invention relates to the field of image quality evaluation, in particular to a method for blind evaluation of cartoon image quality. Background technique [0002] Image Quality Assessment (IQA) is one of the basic research topics of computer vision and image processing, which refers to the evaluation of image quality by using certain subjective or objective methods. In recent years, many effective and stable objective IQA methods for natural images have been proposed. As a large category of specific images, cartoon images are quite different from natural images in statistical rules and image features. However, most of the current IQA methods are proposed for natural images, and the quality assessment of cartoon images is not robust. Nowadays, there are many cartoons of different periods, resulting in different image qualities due to different production techniques, storage environments and compression (eg, celluloid cartoons, analogue-digital proc...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/13G06T7/194
CPCG06T7/0002G06T7/13G06T7/194G06T2207/30168
Inventor 赵洋陈缘贾伟李国庆李书杰曹明伟李琳刘晓平
Owner HEFEI UNIV OF TECH