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No-reference quality evaluation method for fuzzy images

A technology that refers to quality and blurs images. It is applied in image enhancement, image analysis, image data processing, etc. It can solve problems such as application limitations, original algorithm limitations, and no images, and achieve a wide range of applications.

Active Publication Date: 2018-06-01
BEIHANG UNIV
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Problems solved by technology

SSIM requires reference images, but in practical applications, there are often no images for reference in many cases, so the original algorithm has great limitations in practical applications
In addition, when using SSIM to evaluate the image before and after restoration, it is necessary to store the complete information of the image before and after restoration, which occupies a large storage resource and bandwidth, which limits the application of this type of method.

Method used

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  • No-reference quality evaluation method for fuzzy images
  • No-reference quality evaluation method for fuzzy images
  • No-reference quality evaluation method for fuzzy images

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Embodiment Construction

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0035] Existing image quality evaluation methods such as mean square error (MSE) and peak signal-to-noise ratio (PSNR) do not consider the perception characteristics of human eyes, and in many cases, their evaluation results cannot be consistent with human evaluation. For example, when the peak signal-to-noise ratio exceeds 30dB, it is difficult for human vision to distinguish the difference between the original image and the reconstructed image. However, some...

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Abstract

The invention discloses a no-reference quality evaluation method for fuzzy images, comprising the steps of dividing a to-be-evaluated image into blocks, carrying out second fuzzy processing, measuringthe luminance, contrast and fuzziness, calculating a no-reference quality evaluation function, and obtaining average improved structure similarity. The second fuzzy theory and the structure similarity index (SSIM) algorithm are combined, and the SSIM algorithm is modified by making full use of the data information contained in the image and introducing the histogram information of the image. Thequality index of the image can be obtained by comparing the SSIM' values of the to-be-evaluated image and the second fuzzy image thereof. The image quality of the to-be-evaluated image can be accurately evaluated. The human visual characteristic is taken into account, and no reference image is needed. Therefore, the method has a wider application range.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a no-reference quality evaluation method for fuzzy images. Background technique [0002] Image Quality Assessment (IQA) is one of the basic technologies in image processing. It mainly analyzes and studies the characteristics of the image, and then evaluates the quality of the image (the degree of image distortion). Image quality evaluation plays an important role in algorithm analysis and comparison and system performance evaluation in image processing systems. [0003] From the perspective of whether there is a reference or not, most of the existing image quality evaluation methods use Full Reference Image Quality Evaluation (FullReference, FR) and Half Reference Image Quality Evaluation (Reduced Reference, RR). When performing image quality evaluation, the full-reference image quality evaluation method requires a known image as a reference; the semi-reference ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30168
Inventor 张浩鹏苑博姜志国董博
Owner BEIHANG UNIV
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