A memristor based image sensor exploiting compressive measurement for low-power video streaming

Abstract

Image sensor is a commonly used electronic device in various applications. With the increasing requirement for resolution and frame rates, the power consumption is getting significant, which limits the use of image sensors in mobile device sand IoT applications. Compressive sensing (CS) techniques can achieve sub-Nyquist sampling rate to reduce the power consumption in hardware circuits. Currently, most compressive measurements are implemented in digital CMOS circuits, leading to high hardware complexity and power consumption as well as the limited sampling speed. These drawbacks cannot support the rapid growth in performance requirement of image sensor applications. In this paper, we propose a memristor-based image sensor exploiting compressive measurement to achieve high performance with low power consumption and hardware overheads. Simulation results demonstrate the advantages of the proposed technique.