Identification in static luminance and color noise
conference paper
If images from multiple sources (e.g. from the different bands of a multi-band sensor) are displayed in color, Signal and Noise may appear as luminance and color differences in the image. As a consequence, the perception of color differences may be important for Target Acquisition performance with fused imagery. Luminance and color can be represented in a 3-D space; in the CIE 1994 color difference model, the three perceptual directions are lightness (L*), chroma (C*) and hue (h*). In this 3-D color space, we performed two perception experiments. In Experiment 1, we measured human observer detection thresholds (JNDs) for uniformly distributed static noise (fixed pattern noise) in L*, C* or h* on a uniform background. The results show that the JND for noise in L* is significantly lower than for noise in C* or h*. In Experiment 2, we measured the threshold contrast for identification (orientation discrimination) of a Ushaped test target on a noisy background. With test symbol and background noise in L*, the ratio between signal threshold and noise level is constant. With the symbol in a different direction, we found little dependency on noise level.
The results may be used to optimize the use of color to human detection and identification performance with multi-band systems.
Keywords: Target Acquisition, detection, identification, color, noise, multi-band, human observer
The results may be used to optimize the use of color to human detection and identification performance with multi-band systems.
Keywords: Target Acquisition, detection, identification, color, noise, multi-band, human observer
Topics
noisetarget acquisitiondetectionidentificationcolourinfrared imagingColorDetectionHuman observerIdentificationMulti-bandNoiseTarget AcquisitionBroadband networksColorColor image processingDemodulationLuminescenceRadar target recognitionSignal processingSpurious signal noiseHuman observersMulti-bandStatic luminanceTarget aquisitionIdentification (control systems)
TNO Identifier
13649
Source title
Infrared Imaging Systems: Design, Analysis, Modeling, and Testing XVI
Editor(s)
Holst, G.C.
Pages
35-41