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Small typo-fix
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@ -131,7 +131,7 @@ For properties you can read and change look into the documentation of the @ref c
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We want to check just how imperceptible our video converting operation went, therefore we need a
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system to check frame by frame the similarity or differences. The most common algorithm used for
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this is the PSNR (aka **Peak signal-to-noise ratio**). The simplest definition of this starts out
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from the *mean squad error*. Let there be two images: I1 and I2; with a two dimensional size i and
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from the *mean squared error*. Let there be two images: I1 and I2; with a two dimensional size i and
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j, composed of c number of channels.
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\f[MSE = \frac{1}{c*i*j} \sum{(I_1-I_2)^2}\f]
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