发明名称 Method for establishing evaluation standard parameters and method for evaluating the quality of a display image
摘要 The present invention discloses a method for establishing evaluation standard parameters 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 to tristimulus values of all pictures; respectively applying convolution to the frequency distribution function corresponding to each primary color with a contrast sensitivity function of human eye; respectively normalizing to each of the convolution functions; and selecting the evaluation parameters of the three primary colors of the standard picture as the evaluation standard parameters. The present invention can obtain more objective and systemic evaluation standard parameters.
申请公布号 US8958639(B2) 申请公布日期 2015.02.17
申请号 US201313812879 申请日期 2013.01.15
申请人 Shenzhen China Star Optoelectronics Technology Co., Ltd. 发明人 Chen Lixuan;Kang Chih-tsung
分类号 G06K9/00;G06T5/50 主分类号 G06K9/00
代理机构 代理人 Cheng Andrew C.
主权项 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(ωx)=F [X]=∫−∞∞Xe−iωλdλF(ωy)=F [Y]=∫−∞∞Ye−iωλdλF(ωz)=F [Z]=∫−∞∞Ze−iωλdλX =,μ∫a bφ(λ) x(λ)dλY =,μ∫a bφ(λ) Y(λ)dλZ =,μ∫a bφ(λ) z(λ)dλ wherein F (ωx) ,F (ωy), and F (ωz) 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(ωx)=∫−∞∞F(ωx)CSF(k−ω)dωH(ωy)=∫−∞∞F(ωy)CSF(k−ω)dωH(ωz)=∫−∞∞F(ωz)CSF(k−ω)dω wherein, CSF(ω) is the contrast sensitivity function of human eye; ω=√{square root over (ωx2 +ωy2)} is the spatial frequency and its unit is cycle / degree; ωx and ωy are the horizontal direction and the vertical direction spatial frequency; H(ωx), H(ωy), and H(ωz) 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:FactorX=H⁡(ωX)F⁡(ωX)FactorY=H⁡(ωY)F⁡(ωY)FactorZ=H⁡(ωZ)F⁡(ωZ) wherein, Factorx , Factory, and Factorz 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.
地址 Shenzhen, Guangdong CN