# Color Filter Arrays for Quanta Image Sensors

## TL;DR

This paper introduces an optimization-based framework for designing color filter arrays tailored for quanta image sensors and small pixels, balancing light efficiency, anti-aliasing, and crosstalk.

## Contribution

It unifies and generalizes existing design methodologies, enabling simultaneous optimization of multiple performance criteria for color filter arrays.

## Key findings

- The framework outperforms existing methods in experimental comparisons.
- It effectively balances light efficiency with anti-aliasing and crosstalk suppression.
- The approach is flexible and applicable to various design constraints.

## Abstract

Quanta image sensor (QIS) is envisioned to be the next generation image sensor after CCD and CMOS. In this paper, we discuss how to design color filter arrays for QIS and other small pixels. Designing color filter arrays for small pixels is challenging because maximizing the light efficiency while suppressing aliasing and crosstalk are conflicting tasks. We present an optimization-based framework which unifies several mainstream color filter array design methodologies. Our method offers greater generality and flexibility. Compared to existing methods, the new framework can simultaneously handle luminance sensitivity, chrominance sensitivity, cross-talk, anti-aliasing, manufacturability and orthogonality. Extensive experimental comparisons demonstrate the effectiveness of the framework.