As part of a project I am working on, I need to simply analyze a picture using a CLI Linux application and determining if its dark image (high contrast, low brightness).
So far, I figured out I can use ImageMagick to get verbose information of the image, but not sure how to use that data...or is there a simpler solution?
You could scale the image to a very small one -- one that has a dimension of 1x1 pixels and represents the "average color" of your original image:
convert original.jpeg -resize 1x1 1pixel-original.jpeg
Then investigate that single pixel's color, first
convert 1pixel-original.jpeg 1pixel-jpeg.txt
then
cat 1pixel-jpeg.txt
# ImageMagick pixel enumeration: 1,1,255,srgb
0,0: (130,113,108) #82716C srgb(130,113,108)
You can also get the same result in one go:
convert original.jpeg -resize 1x1 txt:-
# ImageMagick pixel enumeration: 1,1,255,srgb
0,0: (130,113,108) #82716C srgb(130,113,108)
This way you get the values for your "avarage pixel" in the original color space of your input image, which you can evaluate for its 'brightness' (however you define that).
You could convert your image to grayscale and then resize. This way you'll get the gray value as a measure of 'brightness':
convert original.jpeg -colorspace gray -resize 1x1 txt:-
# ImageMagick pixel enumeration: 1,1,255,gray
0,0: (117,117,117) #757575 gray(117,117,117)
You can also convert your image to HSB space (hue, saturation, brightness) and do the same thing:
convert original.jpeg -colorspace hsb -resize 1x1 txt:-
# ImageMagick pixel enumeration: 1,1,255,hsb
0,0: ( 61, 62,134) #3D3E86 hsb(24.1138%,24.1764%,52.4941%)
The 'brightness' values you see here (either of 134
, #86
or 52.4941%
) is probably what you want to know.
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