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Foggy weather polarization image quality evaluation method

A technology for image quality evaluation and polarized images, applied in the field of image processing

Active Publication Date: 2015-01-28
中国人民解放军陆军军官学院
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Problems solved by technology

There are certain limitations since they only evaluate the distorted form on which they were trained and need to be combined with human subjective scores

Method used

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  • Foggy weather polarization image quality evaluation method
  • Foggy weather polarization image quality evaluation method
  • Foggy weather polarization image quality evaluation method

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Embodiment Construction

[0026] 1. A typical polarization parameter image quality evaluation method in foggy days suitable for analytical scenes, the method first extracts three polarization original images I 0° , I 60° , I 120° The statistical characteristics of the MSCN factor, defined as Then the model parameters of the statistical features are extracted through the asymmetric generalized Gaussian distribution model, and then the model parameters of the polarization image P are obtained by combining the Stokes parameter formula, and finally the parameters are fitted through the multivariate Gaussian model to obtain the image quality.

[0027] Specifically, given an image, the pixel values ​​of the image are counted point by point through average subtraction and division normalization, and the local normalized brightness features of the image are extracted. Scholar D.L Ruderman argued that applying a nonlinear transformation to the log-ratio luminance can separate the local average displacement f...

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Abstract

The invention discloses a foggy weather polarization image quality evaluation method. The foggy weather polarization image quality evaluation method includes the following steps that: characteristics of natural scene statistics (NSS) are extracted so as to be used for evaluating a foggy weather polarization original image under a natural scene and a polarization intensity image which is generated through analysis; according to an analysis scene image, natural scene characteristics are mapped into an analysis scene by means of an analysis formula (Stokes) and through utilizing the prior information of natural scene statistics, so that the quality of a typical polarization parameter image can be effectively evaluated; and finally, three kinds of factors including a brightness contrast factor, an inertia moment structural dimension factor, a Stokes parameter-based MSCN factor which are sensitive to the quality of two kinds of scene images can be formed selectively, and corresponding pooling strategies can be formed, and a unified framework for foggy weather polarization image comprehensive evaluation can be formed.

Description

technical field [0001] The invention relates to a method in the technical field of image processing, in particular to a method for evaluating the quality of polarized images in foggy weather. Background technique [0002] The no-reference image quality assessment method aims to make a quality assessment of the distorted image that conforms to human visual perception without any information of the reference image and obtain the corresponding quality score. The research on no-reference image quality evaluation methods has developed along this trend; from the initial research on specific distortion types to the multi-distortion mixed distortion types, the more general non-specific distortion type evaluation methods have been studied in depth. [0003] (1) IQA algorithm for specific distortion types [0004] The image quality evaluation algorithm of the specific distortion type is usually used to judge the image quality of the known distortion type, and the algorithm modeling i...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/50
CPCG06T7/0002G06T7/13G06T2207/30168
Inventor 李从利韩裕生杨修顺陆文骏童利标卢伟王勇薛松石永昌孙晓宁
Owner 中国人民解放军陆军军官学院
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