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Blurring-degree evaluation method without reference images

A technology of fuzzy degree and evaluation method, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of not considering the fuzzy local characteristics and not reflecting the fuzzy degree well

Inactive Publication Date: 2012-11-28
XI AN JIAOTONG UNIV
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Problems solved by technology

The blur index reflects the degree to which the gray value of each pixel in the image deviates from the average gray value, and does not consider the local characteristics of the blur at all, so it cannot reflect the degree of blur very well.

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  • Blurring-degree evaluation method without reference images
  • Blurring-degree evaluation method without reference images
  • Blurring-degree evaluation method without reference images

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Embodiment Construction

[0016] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific examples, taking the evaluation of the blurring degree of an image as an example. These examples are illustrative only and not restrictive of the invention.

[0017] The overall deviation degree of each pixel gray value of the image from its surrounding pixel gray value reflects the blur degree of the image. The overall degree of deviation is obtained from the sum of the degree of deviation between each pixel and surrounding pixels. When calculating the degree of deviation between the gray value of a certain pixel and the gray value of surrounding pixels, take the pixel as the center and take a window of p*p, where p is a positive odd number, generally p=3, or p =5, or p=7, or take a larger positive odd number according to actual needs, the method of ta...

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Abstract

The invention relates to a blurring-degree evaluation method without reference images, for solving the problem of blurring-degree evaluation without the reference images. In the blurring-degree evaluation method, the local characteristic of the blurring effect is utilized to reflect the overall deviation degree of all pixel grey levels and peripheral pixel grey levels by the sum of the grey levelvariance of all the local areas, and the measurement of the deviation degree is normalized to obtain the final blurring degree.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a blur degree evaluation method without a reference image. Background technique [0002] In the process of digital image processing, it is often necessary to make quantitative evaluation on the quality of digital images. Image quality includes two aspects: on the one hand, the degree of deviation between the image and the reference image, that is, fidelity; on the other hand, people's perception of the overall layout and local details of the digital image, such as beauty and blur. [0003] Although it is of great significance to quantitatively evaluate the quality of images, it is difficult to study because it involves many fields such as artificial intelligence computing vision. There are many studies on image fidelity, among which peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) are widely used in reference image quality evaluation. However, there ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00
Inventor 黄华曾啸吴宁
Owner XI AN JIAOTONG UNIV
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