The Objective Evaluation Index (OEI) for Evaluation of Night Vision Colorization Techniques
نویسندگان
چکیده
A night vision colorization technique can produce colorized imagery with a naturalistic and stable color appearance by processing multispectral night vision (NV) imagery. The multi‐ spectral images typically include visual-band (e.g., red, green, and blue (RGB), or intensified) imagery and infrared imagery (e.g., near infrared (NIR) and long wave infrared (LWIR)). Although appropriately false-colored imagery is often helpful for human observers in improving their performance on scene classification and reaction time tasks (Waxman et al., 1996; Essock et al., 1999), inappropriate color mappings can also be detrimental to human performance (Toet et al., 2001; Varga, 1999). A possible reason is lack of physical color constancy. Another drawback with false coloring is that observers need specific training with each of the false color schemes so that they can correctly and quickly recognize objects; whereas with colorized nighttime imagery rendered with natural colors, users should be able to readily recognize and identify objects without any training.
منابع مشابه
Qualitative and quantitative comparisons of multispectral night vision colorization techniques
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