third-order polynomial regression for the RGB components
2 次查看(过去 30 天)
显示 更早的评论
please can someone help me to find "third-order polynomial regression for the RGB components"
0 个评论
采纳的回答
John D'Errico
2015-1-19
It is not obvious what you want, but my guess is you are doing some sort of calibration or mapping between color spaces. Perhaps mapping from one RGB space to another, or from RGB to another space, like L*a*b* or XYZ.
My polyfitn tool does that for you, although it only allows you to fit one model at a time. These mappings are actually three such models, done independently. Thus to map from RGB_in to RGB_out, you would build one model for each output variable. Thus effectively...
R_out = fr(RGB_in)
G_out = fg(RGB_in)
B_out = fb(RGB_in)
Having said that, polynomial models are frequently used. This does not say they are the best solution, only the most easily built. Sadly, sufficiently often you will find them inadequate for the purpose. In which case direct mappings to build lookup tables directly are the best way. Effectively, this is a low order spline model, usually piecewise linear.
0 个评论
更多回答(1 个)
Image Analyst
2015-1-19
imresize() does that - bicubic interpolation. Is that an example that will work for you?
1 个评论
Image Analyst
2015-1-19
I also have a background correction that does it. It uses John D'Errico's polyfitn with an order of 4 but you can change it to 3 if you want:
polynomialOrder = 3;
Look for the line above in the code.
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Get Started with Curve Fitting Toolbox 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!