Grayscale image: Difference between revisions

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m (→‎{{header|Sidef}}: minor code simplifications)
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The task description is silent on the issue of companded sRGB versus linear RGB. Most images are actually sRGB, and strictly speaking, the transformation to get Y from RGB is applicable to linear RGB. I imagine that, unlike the ''rc'' version, the ''julia'' version reverses compansion prior to applying the CIE transformation to extract luminance from RGB.
The task description is silent on the issue of companded sRGB versus linear RGB. Most images are actually sRGB, and strictly speaking, the transformation to get Y from RGB is applicable to linear RGB. I imagine that, unlike the ''rc'' version, the ''julia'' version reverses compansion prior to applying the CIE transformation to extract luminance from RGB.

=={{header|Lingo}}==
<lang lingo>on rgbToGrayscaleImageFast (img)
res = image(img.width, img.height, 8)
res.paletteRef = #grayScale
res.copyPixels(img, img.rect, img.rect)
return res
end

on rgbToGrayscaleImageCustom (img)
res = image(img.width, img.height, 8)
res.paletteRef = #grayScale
repeat with x = 0 to img.width-1
repeat with y = 0 to img.height-1
c = img.getPixel(x,y)
n = c.red*0.2126 + c.green*0.7152 + c.blue*0.0722
res.setPixel(x,y, color(256-n))
end repeat
end repeat
return res
end</lang>


=={{header|Lua}}==
=={{header|Lua}}==