gamma correction formula : .^(gamma) or .^(1/gamma)?

I'm looking for a simple gamma correction formula for grayscale images with values between 0 and 255.

Let's say that the gamma of my screen is 2.2 (it's an LCD screen so I would probably need to estimate it with a more complicated procedure, but let's assume my screen is behaving nicely).

Which one of the following formulas would be the correct one?

1. Corrected = 255 * (Image/255).^2.2

OR

2. Corrected = 255 * (Image/255).^(1/2.2)

(Those are destined to be MATLAB codes but I hope they are understandable even to non-MATLAB people)

I've been looking around on the Internet but found both formulas going around. I suspect (2) is the right one, and my confusion is due to the tendency to call "gamma value" the inverse of the actual gamma value, but I would really appreciate some feedback by people who know what they are talking about...

Both formulas are used, one to encode gamma, and one to decode gamma.

Gamma encoding is used to increase the quality of shadow values when an image is stored as integer intensity values, so to do gamma encoding you use the formula:

encoded = ((original / 255) ^ (1 / gamma)) * 255

Gamma decoding is used to restore the original values, so the formula for that is:

original = ((encoded / 255) ^ gamma) * 255

If the monitor does the gamma decoding, you would want to use the first formula to encode the image data.

Gamma correction controls the overall brightness of an image. Images which are not corrected can look either bleached out or too dark. Suppose a computer monitor has 2.2 power function as an intensity to voltage response curve. This just means that if you send a message to the monitor that a certain pixel should have intensity equal to x, it will actually display a pixel which has intensity equal to x^2.2 Because the range of voltages sent to the monitor is between 0 and 1, this means that the intensity value displayed will be less than what you wanted it to be. Such a monitor is said to have a gamma of 2.2.

So in your case,

Corrected = 255 * (Image/255)^(1/2.2).