Color Filter Arrays for Quanta Image Sensors
This work addresses a domain-specific problem for image sensor design, providing an incremental improvement over existing color filter array methods.
The paper tackles the challenge of designing color filter arrays for Quanta Image Sensors and other small-pixel sensors, where maximizing light efficiency conflicts with suppressing aliasing and crosstalk. It presents an optimization-based framework that unifies existing methodologies, offering greater generality and flexibility while handling multiple design criteria simultaneously.
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.