Temporal Super-Resolution using Multi-Channel Illumination Source

TL;DR

This paper introduces a novel method for temporal super-resolution that leverages multi-channel illumination to surpass sensor sampling rate limits, significantly enhancing temporal spectral range and motion estimation accuracy.

Contribution

It presents a new approach using active illumination properties to achieve temporal super-resolution beyond the Nyquist frequency, supported by theoretical, simulation, and experimental validation.

Findings

Increased temporal spectral range by a factor of 6 or more.

Improved object motion estimation accuracy by approximately two times.

Validated method through simulations and real experiments.

Abstract

While sensing in high temporal resolution is necessary for wide range of application, it is still limited nowadays due to cameras sampling rate. In this work we try to increase the temporal resolution beyond the Nyquist frequency, which is limited by the sampling rate of the sensor. This work establishes a novel approach for Temporal-Super-Resolution that uses the object reflecting properties from an active illumination source to go beyond this limit. Following theoretical derivation, we demonstrate how we can increase the temporal spectral detected range by a factor of 6 and possibly even more. Our method is supported by simulations and experiments and we demonstrate as an application, how we use our method to improve in about factor two the accuracy of object motion estimation.