发明名称 Method for Establishing an Evaluation Standard Parameter and Method for Evaluating the Quality of a Display Image
摘要 The present invention discloses a method for establishing an evaluation standard parameter and method for evaluating the quality of a display image, wherein, the method comprises: taking pictures to a group of test images having different color shift severity degrees to obtain a sample picture group; selecting a standard picture by human eye; applying the Fourier transform for the brightness of the pictures of the sample picture group; applying convolution to the frequency distribution function and a contrast sensitivity function of human eye in the frequency domain; normalizing to the convolution function to obtain an evaluation parameter; selecting the evaluation parameter of the standard picture from the evaluation parameters of all the pictures of the sample picture group as an evaluation standard parameter. The present invention can obtain more objective and systemic evaluation standard parameter.
申请公布号 US2014198984(A1) 申请公布日期 2014.07.17
申请号 US201313813440 申请日期 2013.01.16
申请人 Chen Lixuan;Kang Chih-tsung 发明人 Chen Lixuan;Kang Chih-tsung
分类号 G06T5/00 主分类号 G06T5/00
代理机构 代理人
主权项 1. A method for establishing an evaluation standard parameter, the evaluation standard parameter for evaluating the quality of a display image, the quality of the image being inversely proportional to the severity degree of the color shift phenomenon of the image, the method comprising: taking pictures to a group of test images having different color shift severity degrees to obtain a sample picture group, and selecting a standard picture from the sample picture group by human eye; applying the Fourier transform for the brightness orate pictures of the sample picture group to obtain a frequency distribution function, wherein the frequency distribution function is expressed by: F(ω)=F[f(t)]=∫∞−∞f(t)e−iωtdt , wherein, F(ω) is the frequency distribution function; F is the operator for the Fourier transform, and f(t) is a function for the brightness; filtering the frequency distribution function to filter the noise; applying convolution to the frequency distribution function and a contrast sensitivity function of human eye in the frequency domain to obtain a convolution function, wherein, the contrast sensitivity function of human eye is expressed as: CSF(ω)=2.6×(0.0192+0.114×ω)×e (−0.114×ω)1.1 and the convolution functions is expressed as: H(ω)=∫∞−∞F(ω)CSF(k−ω)dω, wherein, CSF(ω) is the contrast sensitivity function of human eye; ω=√{square root over (ωx 2+ωy 2)} is the spatial frequency and it's unit is cycle/degree; ωx and ωx are the horizontal direction and the vertical direction spatial frequency; H(ω) is the convolution functions; k is an offset value; the integral range is −∞□∞; normalizing to the convolution function to obtain an evaluation parameter, wherein, the evaluation parameter is expressed as:Factor=H(ω)F(ω),wherein, Factor is the evaluation parameter; and selecting the evaluation parameter of the standard picture from the evaluation parameters of all the pictures of the sample picture group as an evaluation standard parameter.
地址 Shenzhen City CN