论文标题
使用量子图像传感器进行HDR成像：理论限制和最佳重建
HDR Imaging with Quanta Image Sensors: Theoretical Limits and Optimal Reconstruction
论文作者
论文摘要
高动态范围（HDR）成像是现代摄影中最大的成就之一。 HDR成像的传统解决方案是为CMOS图像传感器（CIS）设计和应用的。但是，如今主流的一微米摄像机通常具有较高的读取噪声和较低的框架速率。这些反过来又限制了采集速度和质量，从而使相机在HDR模式下缓慢。在本文中，我们提出了一种用于HDR成像的新计算摄影技术。认识到顺式的局限性，我们使用量子图像传感器（QIS）来交易位于位的空间分辨率。 QIS是一种单光子图像传感器，具有可比的像素间距与顺式，但深色电流和读取噪声大大降低。我们通过证明QIS可以提供的动态范围的基本限制以及以噪音和速度的权衡来证明传感器的完整理论表征。另外，我们为单位和多位质量QIS得出了一种最佳重建算法。我们的算法在理论上是基于曝光括号的\ emph {ash asph {ash asph {ash asph {all}线性重建方案的最佳选择。实验结果证实了基于合成和实际质量数据的理论和算法的有效性。
High dynamic range (HDR) imaging is one of the biggest achievements in modern photography. Traditional solutions to HDR imaging are designed for and applied to CMOS image sensors (CIS). However, the mainstream one-micron CIS cameras today generally have a high read noise and low frame-rate. These, in turn, limit the acquisition speed and quality, making the cameras slow in the HDR mode. In this paper, we propose a new computational photography technique for HDR imaging. Recognizing the limitations of CIS, we use the Quanta Image Sensor (QIS) to trade the spatial-temporal resolution with bit-depth. QIS is a single-photon image sensor that has comparable pixel pitch to CIS but substantially lower dark current and read noise. We provide a complete theoretical characterization of the sensor in the context of HDR imaging, by proving the fundamental limits in the dynamic range that QIS can offer and the trade-offs with noise and speed. In addition, we derive an optimal reconstruction algorithm for single-bit and multi-bit QIS. Our algorithm is theoretically optimal for \emph{all} linear reconstruction schemes based on exposure bracketing. Experimental results confirm the validity of the theory and algorithm, based on synthetic and real QIS data.
