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No-reference blurred image quality evaluation method

A fuzzy image and quality evaluation technology, applied in the field of image processing, can solve problems that cannot be used to evaluate fuzzy images

Inactive Publication Date: 2013-11-20
HOHAI UNIV CHANGZHOU
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Problems solved by technology

[0008] Aiming at the shortcoming that the evaluation result of the general no-reference image quality evaluation method is affected by the image content and cannot be used to evaluate two blurred images with different image contents, the present invention provides a no-reference type blur image quality evaluation method

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[0030] specific implementation plan

[0031] Relevant detailed content and technology of the present invention, cooperate drawing description as follows:

[0032] The implementation schematic diagram of the evaluation method of the present invention is as figure 1 As shown, the specific steps are as follows:

[0033] (1) Scan each row of pixels of the blurred image. If the gray value of a certain segment on the scanning line shows a monotonous increase or decrease, then this segment may be a step edge; if there is a jitter in the middle of the gray value of this segment, It can be judged that this segment is definitely not a step edge; record all pixel segments;

[0034] (2) In order to eliminate the interference of noise and other factors as much as possible, the pixel segment with small contrast should be excluded during calculation, so as to obtain a qualified image step edge. The contrast of pixel segment A is defined as the difference between the maximum gray value and...

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Abstract

The invention discloses a no-reference blurred image quality evaluation method, and belongs to the image processing technical field. A characteristic that compared with a sharp image, edge features of a blurred image change greatly is utilized; all step edges of the image is sought; appropriate portion edges based on contrast ratio and pixel distance is selected; and the sharpness degree of the edges is calculated and taken as the evaluation basis for image blurriness. The method provided in the invention highlights the influence of human eye-sensitive edge information portion of the image on the image quality, so that images of the blur types, such as Gaussian blur, defocus blur, motion blur and the like can be well evaluated, structural dependence of subjective evaluation is high, and the characteristic of a human eye vision system is accorded with.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a method for evaluating the quality of blurred images. Specifically, it is a method for evaluating the quality of fuzzy images without reference by calculating the sharpness of image step edges by referring to the characteristics that the edges of blurred images will change compared with clear images. . Background technique [0002] In today's society, the development of multimedia technology is changing with each passing day, which profoundly affects people's daily life. The development of digital technology has brought great convenience to people. For example, the emergence of digital cameras makes it easier for people to take pictures when they travel. The use of public monitoring equipment can save a lot of manpower and material resources. The storage of digital information saves a lot of physical storage space. The development of digital technology promotes the devel...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/60
Inventor 李庆武糜靖峰朱浩霍冠英张伟束代群周妍
Owner HOHAI UNIV CHANGZHOU
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