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源代码
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clc
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( v$ S, M+ r3 V/ A% Pim = imread(‘1.bmp’);( Z! J) Q' `9 ^, l2 ?
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quality = CCF(im)3 F X1 c$ S1 v) R5 S
function [quality] = CCF(im)
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; b! e6 G, n1 F$ _* a%-------------CCF_coloRFulness -----------------+ }: b$ [; u$ M" b/ `
imColor = double(im);1 l5 ^8 h0 X9 n0 \" u
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3 H6 W- m0 V: t8 a; {$ I- R = imColor(:,:,1);
- G = imColor(:,:,2);
- B = imColor(:,:,3);
- RR = log(R+0.00001) - mean2(log(R+0.00001));
- GG = log(G+0.00001) - mean2(log(G+0.00001));
- BB = log(B+0.00001) - mean2(log(B+0.00001));
- alpha = RR-GG;
- beta = 0.5*(RR+GG)-BB;
- mu_alpha=mean(mean(alpha));
- mu_beta=mean(mean(beta));
- var_alpha=var(var(alpha));
- var_beta=var(var(beta));
- CCF_colorfulness=1000*((sqrt(var_alpha+var_beta)+0.3*sqrt(mu_alpha*mu_alpha+mu_beta*mu_beta))/85.59);% s, H. c$ {4 o; W( ^7 d
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& h' b9 R+ Y6 Q& s%-------------CCF_contrast----------------------
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% _: y0 T2 f3 F" r2 z# f& K- im1=rgb2gray(im);
- CCF_contrast = CCFcontrast(im1);5 n/ x4 ^5 e3 Z5 E7 ]
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%-------------CCF_FADE--------------------------
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& O, H; y g4 Y1 d4 c" _- CCF_FADE = FADE(im);
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%------------ normalization ------------------
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/ @4 d$ p. {4 X$ O- O# @! J+ c- CCF_colorfulness=mapminmax(CCF_colorfulness,1,10);
- CCF_contrast=mapminmax(CCF_contrast,1,10);
- CCF_FADE=10-mapminmax(CCF_FADE,1,10);) Y5 q7 S5 Y9 h. l' K/ w8 j C
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% ------------calculate image quality with coefficients---------------------
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- c=[0.17593 0.61759 0.33988 ];
- quality = c(1)*(CCF_colorfulness) + c(2)*(CCF_contrast) + c(3)*(CCF_FADE)
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发表于 2021-4-22 17:28
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