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I want to try once again to see if my understanding of the gamma transfer function is correct. Thanks for your patience.
Light intensity vs. signal input/output results in a curve. The ‘gamma transfer function’ is used to flatten this curve so the relationship of encoded image data to intensity will be a simple ratio. In other words, after the gamma transfer function has been applied to the image data, then 0=black, 255=white and, and this is the significant part, 128=middle gray. The very same gray as the 18% gray card everyone keeps talking about.
The ‘Gamma’ is an environment (device/color space) specific value used to generate the gamma transfer function. Gamma has three components – a gamma value (explicitly assigned) and black level and noise level each implicitly derived from the environment.
In a well corrected system, humans will see luminance as lightness. Edit and save in a gamma correct environment but do not tag your image.
Thanks,
Ron
Light intensity vs. signal input/output results in a curve. The ‘gamma transfer function’ is used to flatten this curve so the relationship of encoded image data to intensity will be a simple ratio. In other words, after the gamma transfer function has been applied to the image data, then 0=black, 255=white and, and this is the significant part, 128=middle gray. The very same gray as the 18% gray card everyone keeps talking about.
The ‘Gamma’ is an environment (device/color space) specific value used to generate the gamma transfer function. Gamma has three components – a gamma value (explicitly assigned) and black level and noise level each implicitly derived from the environment.
In a well corrected system, humans will see luminance as lightness. Edit and save in a gamma correct environment but do not tag your image.
Thanks,
Ron
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