Lee Jiheon, Cho Myungjin
Appl Opt. 2022 Jul 20;61(21):6374-6382. doi: 10.1364/AO.463006.
In this paper, we propose enhancement of three-dimensional (3D) image visualization under photon-starved conditions using preprocessing such as contrast-limited adaptive histogram equalization (CLAHE) and histogram matching. In conventional imaging techniques, photon-counting integral imaging can be utilized for 3D visualization. However, due to a lack of photons, it is challenging to enhance the visual quality of 3D images under severely photon-starved conditions. To improve the visual quality and accuracy of 3D images under these conditions, in this paper, we apply CLAHE and histogram matching to a scene before photon-counting integral imaging is used. To prove the feasibility of our proposed method, we implement the optical experiment and show the performance metric such as peak sidelobe ratio.
在本文中，我们提出了利用诸如对比度受限自适应直方图均衡化（CLAHE）和直方图匹配等预处理方法，在光子匮乏条件下增强三维（3D）图像可视化。在传统成像技术中，光子计数积分成像可用于3D可视化。然而，由于光子不足，在严重光子匮乏条件下提高3D图像的视觉质量具有挑战性。为了在这些条件下提高3D图像的视觉质量和准确性，本文在使用光子计数积分成像之前，将CLAHE和直方图匹配应用于场景。为了证明我们提出的方法的可行性，我们进行了光学实验，并展示了诸如峰值旁瓣比等性能指标。
