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Image fuzziness assessment method based on quaternary phase congruency model

A technology of ambiguity and phase, which is applied in image analysis, image data processing, instruments, etc., and can solve the problems of color image quality evaluation accuracy reduction, etc.

Active Publication Date: 2014-09-24
SHANGHAI JIAO TONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Most of the current methods are for image quality evaluation of gray images. When processing color images, they use monochrome processing, that is, only use their brightness information, and treat multiple color channels as independent scalar signals. Instead of treating the color image as an overall vector signal, the neglect of channel-related information will lead to a decrease in the accuracy of color image quality evaluation

Method used

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  • Image fuzziness assessment method based on quaternary phase congruency model
  • Image fuzziness assessment method based on quaternary phase congruency model
  • Image fuzziness assessment method based on quaternary phase congruency model

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Embodiment

[0050] Such as figure 1 Shown, is the general flow chart of the method of an embodiment of the present invention:

[0051] The first step is to calculate the complex phase superposition map PC(x,y) based on brightness information for the image, and the specific steps include:

[0052] 1.1) Only retain the brightness information of the original color image and convert it into a grayscale image I(x,y);

[0053] 1.2) Calculate the local energy using the grayscale image I(x,y)

[0054] E ( x , y ) = ( Σ n I ( x , y ) * M n e ) ...

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Abstract

The invention discloses an image fuzziness assessment method based on a quaternary phase congruency model. The method is represented by a color image based on a quaternion matrix, the color image is processed as a whole in the form of a vector signal and a quaternary phase congruency picture is calculated, and the quaternary phase congruency picture is combined with a traditional complex number phase congruency picture to form a significance picture which can be used to describe the structure contour clear degree of the image, that is a mixed phase congruency picture. According to the invention, histogram analysis is performed on the calculated significance pictures at the same time, the weighted average of phase congruency is taken as the index for measuring the image clear degree, and finally, the fuzzy coefficient of the image is calculated. The method of the invention is a significance method capable of reflecting the contour structure information of the color image, by effectively utilizing the correlation between color channels and the human visual characteristics, the color image fuzziness assessment accuracy rate can be improved.

Description

technical field [0001] The present invention relates to an image quality evaluation method in the technical field of image processing, in particular to an image blur evaluation method based on a quaternary phase superposition model. Background technique [0002] Images may be degraded in the process of acquisition, compression, processing, transmission, and display. Therefore, image quality evaluation has important practical significance in the fields of image, video processing, compression, and communication, and is an important part of these systems. There are many factors that affect image degradation, among which blur is the most easily perceived and felt by the human eye, and an important factor that affects image quality. Therefore, the evaluation of image blur plays a very important role in the entire image quality evaluation. [0003] After a literature search of the prior art, it was found that L.Firestone and K.Cook et al. proposed a method to calculate blur based ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/60
Inventor 徐奕丰子灏杨小康
Owner SHANGHAI JIAO TONG UNIV
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