Image reconstruction in the gigavision camera
Image reconstruction in the gigavision camera
复制标题
gigavision 相机中的图像重建
DOI：
10.1109/iccvw.2009.5457554
复制
发表时间：
2009
期刊：
影响因子：
--
通讯作者：
M. Vetterli
中科院分区：
文献类型：
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作者：
Feng Yang;L. Sbaiz;E. Charbon;S. Süsstrunk;M. Vetterli
最近我们提出了一种名为Gigavision相机的新图像设备。这款相机的主要特点是像素具有二进制响应。Gigavision传感器的响应函数是非线性的，类似于对数函数，这使得相机适合于高动态范围成像。由于传感器可以探测到单个光子，因此相机非常灵敏，可用于夜视和天文成像。Gigavision相机的一个重要方面是如何通过二进制观测来估计光强度。将光强场建模为二维分段常数，采用最大惩罚似然估计（MPLE）恢复光强场，并采用动态规划法求解优化问题。针对动态规划计算复杂的特点，提出了贪婪算法和四叉树剪枝算法。他们表现出可接受的重建性能与低计算复杂度。给出了合成图像和单光子雪崩二极管（SPAD）相机拍摄的真实的图像的实验结果。
Recently we have proposed a new image device called the gigavision camera. The main feature of this camera is that the pixels have a binary response. The response function of a gigavision sensor is non-linear and similar to a logarithmic function, which makes the camera suitable for high dynamic range imaging. Since the sensor can detect a single photon, the camera is very sensitive and can be used for night vision and astronomical imaging. One important aspect of the gigavision camera is how to estimate the light intensity through binary observations. We model the light intensity field as 2D piecewise constant and use Maximum Penalized Likelihood Estimation (MPLE) to recover it. Dynamic programming is used to solve the optimization problem. Due to the complex computation of dynamic programming, greedy algorithm and pruning quadtrees are proposed. They show acceptable reconstruction performance with low computational complexity. Experimental results with synthesized images and real images taken by a single-photon avalanche diode (SPAD) camera are given.