If you select the "User-defined Weights" option, then you can also create your own custom conversion formula by manually entering the weights that determine how much light is extracted from each color channel. The second method is called the "ITU-R BT.709 Formula," (also known as HDTV formula), which applies different weights to the color channels according to the formula "0.21×Red + 0.72×Green + 0.07×Blue", and the third method, known as the "ITU-R BT.601 Formula," (also known as PAL/NTSC formula) utilizes the formula "0.30×Red + 0.59×Green + 0.11×Blue". Among the most popular conversion formulas are the "Average Color Values" formula, which takes equal amounts of red, green, and blue channels and calculates their average value as "(Red+Green+Blue)/3" for the amount of light left in the image. This tool provides the three most popular grayscale conversion formulas as well as gives you the freedom to create a custom formula. even though I add an alpha band with the RasterBandAdder, and even though the RasterPaletteGenerator creates me a palette with RGBA values, the GeoTIFF output palette only has RGB values. There are also multiple methods for removing the color information from an image. In FME you would use a RasterPaletteGenerator transformer, like so: What I will say is that I don't think GeoTIFF supports a 32-bit palette. As the information about the amount of color is lost, we obtain a grayscale or a black-and-white image. To create a grayscale image, the tool removes information about how much color is in each of these channels and leaves only information about the amount of light in these channels. These three colors are stored in three separate color channels, called the red color channel, the green color channel, and the blue color channel. By combining various amounts of these three colors together, we get images of all possible colors. As you may know, all colors that you see in images are actually made out of just three primary colors – red, green, and blue. This tool converts color images into grayscale images.
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