Sensor spectral sensitivities, noise measurements, and color sensitivity

Frédéric Cao; Frédéric Guichard; Hervé Hornung

doi:10.1117/12.766185

3 March 2008 Sensor spectral sensitivities, noise measurements, and color sensitivity

Frédéric Cao, Frédéric Guichard, Hervé Hornung

Proceedings Volume 6817, Digital Photography IV; 68170T (2008) https://doi.org/10.1117/12.766185
Event: Electronic Imaging, 2008, San Jose, California, United States

Abstract

This article proposes new measurements for evaluating the image quality of a camera, particularly on the reproduction of colors. The concept of gamut is usually a topic of interest, but it is much more adapted to output devices than to capture devices (sensors). Moreover, it does not take other important characteristics of the camera into account, such as noise. On the contrary, color sensitivity is a global measurement relating the raw noise with the spectral sensitivities of the sensor. It provides an easy ranking of cameras. To have an in depth analysis of noise vs. color rendering, a concept of Gamut SNR is introduced, describing the set of colors achievable for a given SNR (Signal to Noise Ratio). This representation provides a convenient visualization of what part of the gamut is most affected by noise and can be useful for camera tuning as well.

Citation Download Citation

Frédéric Cao, Frédéric Guichard, and Hervé Hornung "Sensor spectral sensitivities, noise measurements, and color sensitivity", Proc. SPIE 6817, Digital Photography IV, 68170T (3 March 2008); https://doi.org/10.1117/12.766185

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