If you've ever been frustrated by someone who tends to "get technical," you've probably dismissed much if not all of any knowledge that exceeds yours as unnecessary. After all, your images look fine...to you. No complaints.
Here's a hard fact of life: You only know what you know. If you were to sit down with one of your prints and a true expert started criticizing it, you'd suddenly find yourself sensitized to issues you didn't even know existed a few minutes prior. In a very short space of time your known universe will have expanded significantly, and you will have encountered the realization that your preexisting knowledge wasn't nearly as comprehensive or sufficient as you had thought.
I'm speaking from experience, and can testify that it's the satisfaction of conquering ego and formerly intimidating issues that has generated my voracious appetite for learning. I know of many people who are more advanced than I am, and their appetites for learning don't seem to have abated. I admire them for that, but I'm intimidated that it may be an eternal process.
Some may argue that you don't have to know how an engine works to drive. That is true, but argumentative and shallow. A professional driver most certainly should know how his engine works in order to maximize its performance and reliability. Arguments against knowing something tangibly and directly effectual are generally pretty lazy...and I don't feel particularly obligated to apologize for saying so.
I'd like to share with you a short description about a fundamental of digital imaging. This isn't something deep inside the science, something esoteric that you'd never be asked to engage directly or never employ directly-it's gamma. You probably know gamma as a setting for your Mac ("1.8") or your PC ("2.2"), but I'm willing to bet that you couldn't explain it.
Gamma is the rate of change in the luminosity of a pixel relative to the change in that pixel's input value. At a gamma of 1, a perfectly black pixel will be perfectly black and a fully energized pixel will be perfectly white, with all intermediate steps produced in equal increments. This is the way that most common digital camera sensors capture images, and it is termed a "linear" format.
However, human visual perception is not linear, and digital captures must be adjusted to appear natural to us. This adjustment is nonlinear, and as such has a variable rate of change throughout the range of the continuum from black to white. Think of your Curves Dialogue Box in Photoshop. When you pull the Curve in the middle, one portion of the resulting Curve will have a steeper slope and one will have a more gradual slope than before the adjustment (it's also no longer a "linear" line, it's a "nonlinear" curve!). Have you ever considered that before? Do you know how that affects saturation? Please reread the second paragraph of this post if you're feeling haughty, because there's more...
At a gamma of 1.8, the rate of change in pixels as the input is adjusted is adjusted itself, but not as much as gamma 2.2. At gamma 1.8 pixel luminance graduations in the dark portions of the continuum have less difference than with a gamma of 1, but there is still some potential for posterization. Yet, a gamma of 1.8 is most perceptually hospitable to humans. This round goes to Apple.
At a gamma of 2.2, the rate of change is lessened so that graduations in the dark portions of the continuum have even less difference than they do at gamma 1.8. The differences are palpable. This round goes to PC.
Gamma adjustments are made during RAW conversion, during color management processes when displaying your image on your monitor/s, during print preparation...and yes, when you apply Curves (or Levels, for that matter). You use gamma adjustments of varous sorts during virtually every step of the image production process, and the effects are fundamental and profound.
How fundamental? Do you "expose to the right" to ensure that your capture has as much tonal virtue as possible? If so, you are using a simple, but very effective manipulation of gamma. Congratulations!
So, if I were to ask you to explain why the sky is blue when the color temperature outside is 3,000K, or why 18% gray is considered neutral/average, what might you say? Don't you think this stuff is intrigueing? I sure do. Forgive me.
Knowledge can effect your income (your income could be considered your "Report Card" from a commercial point of view). Aside from competing more effectively because your sales dialogue is more constructive and persuasive, knowledge can save you a great deal of money. Suppose I were to make the statement that a Canon 1DsMII provides no more resolution than a Canon 5D in an overwhelming majority of imaging applications, or that your "1440 dpi" printer can actually only print a photograph at 180 dpi, would you believe me?
If not, stay tuned...
Note: If there are any readers who can explain the math behind gamma (using it as an exponent), please do. This too is a bit distant from my focus of expertise, and I'll appreciatively defer to any real experts on the matter.
L

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