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, wherein each of the pictures includes multiple pixels; applying the Fourier transform for the brightness of the 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 −iωt dt , 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; and the frequency distribution function has multiple values and each value of the frequency distribution function corresponds to one of the multiple pixels; 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 (−0.114ω)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 (ω ×2‘+ω y 2 )} is the spatial frequency and it's unit is cycle/degree; ω x and ω x 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 wherein the ste of normalizin to the convolution function to obtain an evaluation arameter s ecificall includes: roceedin a center translation of an origin of the convolution function; calculating an absolute value of the convolution function at the origin; calculating a sum of absolute values of the frequency distribution function corresponding to the multiple pixels; and calculating a ratio of the absolute value of the convolution function at the origin to the sum of absolute values of the frequency distribution function corresponding to the multiple pixels; 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.