Title :
Photon Detection and Color Perception at Low Light Levels
Author :
Rezagholizadeh, Mehdi ; Clark, James J.
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
Working under low light conditions is of particular interest in machine vision applications such as night vision, tone-mapping techniques, low-light imaging, photography, and surveillance cameras. This work aims at investigating the perception of color at low light situations imposed by physical principles governing photon emission. The impact of the probabilistic nature of photon emission on our color perception becomes more significant at low light levels. In this regard, physical principles are leveraged to develop a framework to take into account the effects of low light level on color vision. Results of this study shows that the normalized spectral power distribution of light changes with light intensity and becomes more uncertain at low light situation as a result of which the uncertainty of color perception increases. Furthermore, a color patch at low light levels give rise to uncertain color measurements whose chromaticities form an elliptic shape inside the chromaticity diagram around the high intensity chromaticity of the color patch. The size of these ellipses is a function of the light intensity and the chromaticity of color patches however the orientation of the ellipses depends only on the patch chromaticity and not on the light level. Moreover, the results of this work indicate that the spectral composition of light is a determining factor in the size and orientation of the ellipses. The elliptic shape of measured samples is a result of the Poisson distribution governing photon emission together with the form of human cone spectral sensitivity functions and can partly explain the elliptic shape of MacAdam ellipses.
Keywords :
Poisson distribution; computer vision; image colour analysis; image sensors; night vision; object detection; MacAdam ellipses; Poisson distribution; chromaticity diagram; color patch; color perception uncertainty; color vision; ellipse orientation; ellipse size; elliptic shape; human cone spectral sensitivity functions; low light levels; low-light imaging; machine vision application; night vision; normalized spectral power distribution; photography; photon detection; photon emission; surveillance cameras; tone-mapping techniques; uncertain color measurements; Color; Colored noise; Image color analysis; Light sources; Photonics; Photoreceptors; Power distribution; MacAdam ellipses; chromaticity diagram; low light levels; photon detection;
Conference_Titel :
Computer and Robot Vision (CRV), 2014 Canadian Conference on
Conference_Location :
Montreal, QC
Print_ISBN :
978-1-4799-4338-8
DOI :
10.1109/CRV.2014.45