Using visible SNR (vSNR) to compare the image quality of pixel binning and digital resizing

Joyce Farrell; Mike Okincha; Manu Parmar; Brian Wandell

doi:10.1117/12.839149

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18 January 2010 Using visible SNR (vSNR) to compare the image quality of pixel binning and digital resizing

Joyce Farrell, Mike Okincha, Manu Parmar, Brian Wandell

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Proceedings Volume 7537, Digital Photography VI; 75370C (2010) https://doi.org/10.1117/12.839149
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States

Abstract

We introduce a new metric, the visible signal-to-noise ratio (vSNR), to analyze how pixel-binning and resizing methods influence noise visibility in uniform areas of an image. The vSNR is the inverse of the standard deviation of the SCIELAB representation of a uniform field; its units are 1/ΔE. The vSNR metric can be used in simulations to predict how imaging system components affect noise visibility. We use simulations to evaluate two image rendering methods: pixel binning and digital resizing. We show that vSNR increases with scene luminance, pixel size and viewing distance and decreases with read noise. Under low illumination conditions and for pixels with relatively high read noise, images generated with the binning method have less noise (high vSNR) than resized images. The binning method has noticeably lower spatial resolution. The binning method reduces demands on the ADC rate and channel throughput. When comparing binning and resizing, there is an image quality tradeoff between noise and blur. Depending on the application users may prefer one error over another.

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Joyce Farrell, Mike Okincha, Manu Parmar, and Brian Wandell "Using visible SNR (vSNR) to compare the image quality of pixel binning and digital resizing", Proc. SPIE 7537, Digital Photography VI, 75370C (18 January 2010); https://doi.org/10.1117/12.839149

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