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24 January 2011 Toward a quantitative visual noise evaluation of sensors and image processing pipes
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Proceedings Volume 7876, Digital Photography VII; 78760Q (2011)
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States
The evaluation of sensor's performance in terms of signal-to-noise ratio (SNR) is a big challenge for both camera phone manufacturers and customers. The first ones want to predict and assess the performance of their pixel while the seconds require being able to benchmark raw sensors and processing pipes. The Reference SNR metric is very sensitive to crosstalk whereas for low-light issue, the weight of sensitivity should be increased. To evaluate noise on final image, the analytical calculation of SNR on luminance channel has been performed by taking into account noise correlation due to the processing pipe. However, this luminance noise does not match the perception of human eye which is also sensitive to chromatic noise. Alternative metrics have been investigated to find a visual noise metric closer to the human visual system. They have been computed on five pixel technologies nodes with different sensor resolutions and viewing conditions.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Clémence Mornet, Donald Baxter, Jérôme Vaillant, Thomas Decroux, Didier Herault, and Isabelle Schanen "Toward a quantitative visual noise evaluation of sensors and image processing pipes", Proc. SPIE 7876, Digital Photography VII, 78760Q (24 January 2011);


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