adjust brightness of an image with respect to another image.

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Elad
Elad le 14 Juin 2012
Modifié(e) : px1313 le 2 Mai 2017
Is there some automatic function for that, something like imregister only to equalize the brightness between two images ? Thanks.

Réponses (3)

Walter Roberson
Walter Roberson le 15 Juin 2012
The below might not look like it makes the brightnesses of the images the same, but mathematically it does the job, provided that you do not get saturation.
b1 = mean2(rgb2gray(Image1));
b2 = mean2(rgb2gray(Image2));
NewImage2 = Image2 + (b1-b2);
  1 commentaire
Elad
Elad le 17 Juin 2012
Thanks, unfortunatly that does not work well in my case. perhaps I need some local equalization between the images, the algorithm by Mark Grundland and Neil A. Dodgson that Image Analyst suggested might work.

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Image Analyst
Image Analyst le 17 Juin 2012
For the ultimate in histogram matching of grayscale images, see my histogram matching/shaping routine. http://www.mathworks.com/matlabcentral/fileexchange/?term=authorid%3A31862 You can't do better since it will provide as exact a match as is theoretically possible. (It's only slightly inexact when the image sizes are different, for obvious reasons. Ask if you don't know why.)
For a color image, I think the algorithm by Mark Grundland and Neil A. Dodgson is possibly the best algorithm out there: http://www.eyemaginary.com/Portfolio/ColorHistogramWarp.html
  4 commentaires
Thang  Le
Thang Le le 25 Fév 2016
Sorry for digging up an old post. I've looked at the custom-shaped histogram package and I'm not sure how to equalize the brightness and contrast across multiple images. I have 160 images with different levels of brightness and contrast and I would like to create a set of new 160 images from these with the same level of brightness and contrast. Image Analyst, could you help?
Image Analyst
Image Analyst le 26 Fév 2016
Try using imhistmatch() in a loop.

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px1313
px1313 le 2 Mai 2017
Modifié(e) : px1313 le 2 Mai 2017
I would like to ask you if imhistmatch() have worked for your 160 images with different levels of brightness and contrast. I have same problem to solve.

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