Jittered Exposures for Light Field Super-Resolution

Camera design involves tradeoffs between spatial, temporal, and angular resolution. Microlens-based light field cameras, for example, trade a fixed proportion of a sensor's spatial resolution for angular resolution in order to enable refocusing, perspective change, and depth estimation. In this paper, we exploit stabilizing optics already included in many lenses to efficiently trade temporal resolution and regain some of the lost spatial resolution. Since temporal resolution loss is a function of both the image capture time and image processing, we emphasize our reduced algorithmic complexity compared to existing light field superresolution methods while still providing the same level of optical fidelity. We quantify performance with improved depth estimation and improved optical quality, measured on real images captured with a prototype 3D light field camera.