Towards an optimal color representation for multiband nightvision systems

We present a new tri-band color low-light observation (TRICLOBS) system The TRICLOBS is an all-day all-weather surveillance and navigation tool. Its sensor suite consists of two digital image intensifiers and an uncooled longwave infrared microbolometer. This sensor suite registers the visual, near-infrared and longwave infrared bands of the electromagnetic spectrum. The optical axes of the three cameras are aligned, using two dichroic beam splitters. A fast lookup-table based color transform (the color-the-night color mapping principle) is used to represent the TRICLOBS image in natural daylight colors (using information in the visual and NIR bands) and to maximize the detectability of thermal targets (using the LWIR signal). A bottom-up statistical visual saliency mode is deployed in the initial optimization of the color mapping for surveillance and navigation purposes. Extensive observer experiments will result in further optimization of the color representation for a range of different tasks.