1. A method for establishing evaluation standard parameters, the evaluation standard parameters 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 to tristimulus values of pictures of the sample picture group to obtain a frequency distribution function corresponding to each primary color, wherein the frequency distribution function corresponding to each primary color is respectively expressed as: 
 F (ω x ) =F [X]=∫ −∞ ∞ Xe −iωλ dλ 
 F (ω y ) =F [Y]=∫ −∞ ∞ Ye −iωλ dλ 
 F (ω z ) =F [Z]=∫ −∞ ∞ Ze −iωλ dλ 
 X =,μ∫ a bφ(λ) x (λ) dλ 
 Y =,μ∫ a bφ(λ) Y (λ) dλ 
 Z =,μ∫ a bφ(λ) z (λ) dλ wherein F (ω x ) ,F (ω y ), and F (ω z ) are respectively the frequency distribution functions corresponding to the red primary color, the green primary colors, and the blue primary color; F is an operator of the Fourier transform; X, Y, and Z, represent the tristimulus values of the red, green, and blue primary colors; λ is the wavelength; x (λ), y (λ), and z (λ) are spectral tristimulus values for the standard colorimetric observer; φ(λ) the reflectance of spectrum of a picture; (a, b) for the visible spectral range; μ is a scale factor; respectively filtering the frequency distribution function corresponding to each primary color to filter the noise; respectively applying convolution to the frequency distribution function corresponding to each primary color with a contrast sensitivity function of human eye in the frequency domain to obtain three convolution functions, 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 ; the three convolution functions are expressed as: 
 H(ω x )=∫ −∞ ∞ F (ω x ) CSF ( k −ω) dω 
 H(ω y )=∫ −∞ ∞ F (ω y ) CSF ( k −ω) dω 
 H(ω z )=∫ −∞ ∞ F (ω z ) CSF ( k −ω) dω wherein, CSF(ω) is the contrast sensitivity function of human eye; ω=√{square root over (ω x 2 +ω y 2 )} is the spatial frequency and its unit is cycle / degree; ω x and ω y are the horizontal direction and the vertical direction spatial frequency; H(ω x ), H(ω y ), and H(ω z ) are the three convolution functions; k is an offset value; the integral range is −∞: ∞; respectively normalizing to each of the convolution functions for obtaining an evaluation parameter of each primary color, the evaluation parameter of each primary color is expressed as: Factor X = H ⁡ ( ω X ) F ⁡ ( ω X ) Factor Y = H ⁡ ( ω Y ) F ⁡ ( ω Y ) Factor Z = H ⁡ ( ω Z ) F ⁡ ( ω Z ) wherein, Factor x , Factor y , and Factor z are the evaluation parameters; and wherein, the step of respectively normalizing to each of the convolution functions specifically includes: proceeding a center translation of an origin of each convolution function; calculating an absolute value of each convolution function at the origin; calculating a sum of the absolute values of the frequency distribution function corresponding to each convolution function; and calculating a ratio of the absolute value of each convolution function at the origin to the sum of the absolute values of the frequency distribution function corresponding to each convolution function; and selecting the evaluation parameters of the three primary colors of the standard picture from the sample picture group as the evaluation standard parameters.