.png){kind=icon}
返回
Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics
.png){kind=icon}
OA
AI
DOI：10.1109/TIP.2011.2179306.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
We study a new image sensor that is reminiscent of a traditional photographic film. Each pixel in the sensor has a binary response, giving only a 1-bit quantized measurement of the local light intensity. To analyze its performance, we formulate the oversampled binary sensing scheme as a parameter estimation problem based on quantized Poisson statistics. We show that, with a single-photon quantization threshold and large oversampling factors, the Cramer-Rao lower bound (CRLB) of the estimation variance approaches that of an ideal unquantized sensor, i.e., as if there were no quantization in the sensor measurements. Furthermore, the CRLB is shown to be asymptotically achievable by the maximum-likelihood estimator (MLE). By showing that the log-likelihood function of our problem is concave, we guarantee the global optimality of iterative algorithms in finding the MLE. Numerical results on both synthetic data and images taken by a prototype sensor verify our theoretical analysis and demonstrate the effectiveness of our image reconstruction algorithm. They also suggest the potential application of the oversampled binary sensing scheme in high dynamic range photography.
Keyword:
Computational photography
diffraction-limited imaging
digital film sensor
high dynamic range imaging
photon-limited imaging
Poisson statistics
quantization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
13.7
论文数:
1.0W
被引数:
8.4W
机构
引用论文
Formation process of tungsten borides by solid state reaction between tungsten and amorphous boron
.png){kind=icon}
PREAI
分享收藏Platelets: A multiscale approach for recovering edges and surfaces in photon-limited medical imaging
PREAI
分享收藏
查看更多内容