![]() This spectrum of colours is referred to as a palette in most graphical software. When presented online, then, you have a colourised rendition of temperature that is essence a filter of the real data mapped onto a pre-existing spectrum. However, images captured are eventually converted into a digital format that is easily visualized by others, typically a jpg, png, tiff or bmp file. Almost all thermal imaging devices actually provide a proper temperature estimate for each pixel on the screen and as the images are typically stored in proprietary format in 12 or 14 bit files, this is not a concern from a quantitative perspective. My reasons will be illuminated below, but suffice it to say it relates ultimately to contrast and detectability of different temperatures through the use of colour itself.įrom a computational perspective these concerns are not important. Why be concerned about which colour to use? Isn’t it just for presentation? It happens to be one of my pet peeves with thermal imaging and how people new to the field do not appreciate how a colour choice might enhance small differences in temperature and overemphasize something rather minor. This might sound like a strange thing to write about, the choosing of a colour palette for a thermal image.
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