On the Insensitivity of Bit Density to Read Noise in One-bit Quanta Image Sensors

TL;DR

This paper explains why the bit-density in one-bit quanta image sensors remains constant despite read noise, under certain symmetry conditions of the underlying distribution, highlighting a unique insensitivity phenomenon.

Contribution

It provides a mathematical analysis and conditions explaining the insensitivity of bit-density to read noise in one-bit quanta image sensors.

Findings

Bit-density remains constant despite increasing read noise under specific conditions.

Symmetry in the Poisson-Gaussian distribution explains the insensitivity phenomenon.

The phenomenon occurs at unity quanta exposure with threshold 0.5.

Abstract

The one-bit quanta image sensor is a photon-counting device that produces binary measurements where each bit represents the presence or absence of a photon. In the presence of read noise, the sensor quantizes the analog voltage into the binary bits using a threshold value $q$. The average number of ones in the bitstream is known as the bit-density and is often the sufficient statistics for signal estimation. An intriguing phenomenon is observed when the quanta exposure is at the unity and the threshold is $q = 0.5$. The bit-density demonstrates a complete insensitivity as long as the read noise level does not exceeds a certain limit. In other words, the bit density stays at a constant independent of the amount of read noise. This paper provides a mathematical explanation of the phenomenon by deriving conditions under which the phenomenon happens. It was found that the insensitivity holds when some forms of the symmetry of the underlying Poisson-Gaussian distribution holds.