![]() The computer reads this notation, and displays the image using the sRGB language (color space). When you take a picture, a little notation is added to it which says the image colors are defined by sRGB. Sometimes it is shown with a string of numbers after it. ![]() Most likely you have seen sRGB in passing. It is called the color space in which you are working. It is the default both on your camera and on your computer. The most common language for these numbers in photography is called sRGB, a language codified by Microsoft. It is difficult to tell if the squares in the middle are the same color and tonality because of the surrounding color (they are the same).īut here is a rub: What exact color should be displayed when the definition is something like ? These are not numbers that occur in nature, so there has to be a language to define them. To understand how to control what by now should appear to be a mess, first some background on how color is made, something that was briefly covered in the Sensor chapter. A television’s colors even change greatly between the different standard viewing settings. Blue is always blue, but there can be astounding differences in what kind of blue is displayed. ![]() Proof of this can be had by looking at a camera or phone display in bright sunlight.Īlthough computer displays have improved, each one also has different color, and the color capabilities of different devices (cameras, computers, and printers) can vary widely. Making this problem worse is the fact that color on a computer is greatly influenced by the color and brightness of the light in the environment of the computer. In short, a human’s physical structure (and also memory) is fairly poor with color, and that is not even considering various color blindnesses that affect around one in ten males. Adjacent colors also change the perception of a color. Just like smell or taste, sensitivity to a color diminishes the longer one is exposed to it. ![]() You might not use all of the information in this chapter, but it will give you a good framework for understanding color issues.Ĭolor is a much more slippery thing than you might think. \)Ĭolor on the computer is a complicated subject, but there are some fairly simple things that you can do to ensure that your color is predictable and consistent from your camera to your printer and across computers that are used to view your images.
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