In thermal imaging, each pixel indicates a specific temperature data, and these data will be assigned an unique color according to their values. Selecting specific palette brings outstanding effect in different scenarios. Here are the common reasons for palettes selection.
Ironbow: Objects with a relative high temperature will be displayed in warm tone, otherwise, shown in cold tone.
Lava: Similar to Ironbow and North Pole. High temperature areas and low temperature areas will be shown in warm and blue tones respectively. Lava palette is a pretty good choice for low-contrast environment.
White Hot: High temperature area will be shown in white, otherwise, shown in black. High temperature area and low temperature area will be distinguished intuitively for the scenarios in a much temperature difference. Generate thermal imaging with details, which reduce recognition difficulty.
Red Hot: Show areas with obvious heat energy in red & yellow tone.
Rainbow: Similar to Ironbow palette. Show high temperature areas and low temperature areas in warm and cold tones respectively. Compared with Ironbow palette, more color tones will be shown when selecting Rainbow palette, which improves the contrast of the images. It is widely used for the scenarios with less temperature difference.
Rainbow HC: Continues to increase image contrast based on Rainbow palette, which help capturing more details.
Amber: Slight differences are easier to see with a monochromatic palette
Artic: Combined with Ironbow and Rainbow HC, show high temperature areas and low temperature in gold and blue tones respectively. Apply to the scenarios with weak ambient brightness.In thermal imaging, each pixel indicates a specific temperature data, and these data will be assigned an unique color according to their values. Selecting specific palette brings outstanding effect in different scenarios. Here are the common reasons for palettes selection.