Full-reference type image quality evaluation method based on visual information amount difference

An image quality evaluation and reference image technology, which is applied in image communication, television, electrical components, etc., can solve the problems of high algorithm time complexity and unfavorable use in image processing fields, and achieve good evaluation performance, fast operation speed, and time complexity low degree of effect

Active Publication Date: 2011-04-27
BEIHANG UNIV
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Problems solved by technology

Due to the high real-time requirements of image quality evaluation algorithms in many practical application fields (such as real-time compression of satellite remote sensing images), the existi...

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  • Full-reference type image quality evaluation method based on visual information amount difference
  • Full-reference type image quality evaluation method based on visual information amount difference
  • Full-reference type image quality evaluation method based on visual information amount difference

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Embodiment Construction

[0038]The overall design idea of ​​this image quality evaluation method is based on the analysis of the amount of visual information transmitted when the airspace image is converted into human visual signals. Specifically, the process of human eyes observing an image is actually a process in which the amount of information contained in the image is transmitted to the human eye and converted into a visual signal. Due to the influence of the observation method and the visual characteristics of the human eye, when a person observes a certain point in the image space, the amount of information that can be obtained is often not equal to the information entropy in the statistical sense of the point. This amount of information can be defined as the amount of visual information, that is, the amount of visual information refers to the amount of information contained in the spatial domain image signal converted into the human brain nerve signal by the human eye. Just like using an image...

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Abstract

The invention relates to a full-reference type image quality evaluation method for evaluating distorted image quality quantitatively based on visual information amount difference, comprising the following steps: carrying out the selective preprocessing operation on an image firstly; then calculating the self-visual information amount difference value and neighborhood visual information amount difference value of each corresponding point of the reference image and the distorted image respectively, and calculating the visual information amount difference value of each point based on the two values; and finally using the weighted sum of the visual information amount difference value of each point as the evaluation value of the distorted image quality. The image quality evaluation method provided by the invention is stable in performance, easy for implementation and lower in time complexity compared with the similar algorithm, and ensures that the evaluation result is consistent with the visual feeling, thereby being more suitable for the application fields of image quality evaluation and image processing with higher real-time requirement.

Description

technical field [0001] The invention relates to an image quality evaluation method, in particular to a method for quantitatively evaluating the quality of a distorted image by using the difference in visual information, and belongs to the technical field of digital image processing. Background technique [0002] Image quality evaluation plays a very important role in the field of digital image processing. Image quality evaluation is involved in image compression, image restoration, and image watermarking applications. The most effective image quality evaluation is human subjective evaluation, but the process of human subjective evaluation is cumbersome, poor stability, and difficult to implement in practical applications. Therefore, it is urgent to design effective objective quality evaluation methods to approximately reflect subjective feelings. [0003] According to the degree of reference to the reference image, the objective image quality evaluation methods are generall...

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Application Information

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IPC IPC(8): H04N17/00H04N17/02
Inventor 姜宏旭杨凯李波
Owner BEIHANG UNIV
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