Polarization Image Dataset

[Update on 2020/02/20] Uploaded the raw intensity images at 0, 45, 90 and 135 degrees. This is to facilitate research work for other users. Previous .mat files were deleted because they can be generated with these raw images. Corresponding code was updated in main.m. This polarization image dataset is a collection of 40 high resolution color polarization data, with four raw intensity images with polarization angles at 0, 45, 90 and 135 degrees for each scene. They were captured with a rotating polarizer in front of a point grey color camera. For each polarization angle, 100 images were captured successively and then averaged to output one single image at that angle to suppress noise. They are stored in .png format. Various visualization methods are provided along with the polarization data. The code to generate these visualizations are in the zipped file "_code.zip". To run the code, MATLAB version2018b or higher is required. If you find this dataset useful for your work, please kindly cite our paper Simeng Qiu, Qiang Fu, Congli Wang, Wolfgang Heidrich. Polarization Demosaicking for Monochrome and Color Polarization Focal Plane Arrays. The 24th International Symposium on Vision, Modeling and Visualization. Proceedings of the Conference on Vision, Modeling, and Visualization, 2019. Contact: [e-mail]

[2020/02/20 更新] 本次上传了偏振角分别为0°、45°、90°与135°的原始强度图像，旨在为其他研究者的相关工作提供便利。此前发布的.mat格式文件已被删除，因其可通过本次上传的原始图像直接生成。main.m中的配套代码已同步更新。本偏振图像数据集共包含40组高分辨率彩色偏振数据，每个场景对应4张不同偏振角的原始强度图像。数据采集时，在灰点（Point Grey）彩色相机镜头前加装旋转偏振片，针对每个偏振角依次采集100张图像后取平均值，以生成该角度下的单张图像并抑制噪声。所有图像均以.png格式存储。本数据集同步提供多种可视化方法，生成此类可视化结果的代码已打包至"_code.zip"压缩文件中。运行该代码需使用MATLAB 2018b及以上版本。若本数据集对您的研究有所助益，请引用以下论文：Simeng Qiu、Qiang Fu、Congli Wang、Wolfgang Heidrich，《面向单色与彩色偏振焦平面阵列的偏振去马赛克（Polarization Demosaicking for Monochrome and Color Polarization Focal Plane Arrays）》，发表于第24届国际视觉、建模与可视化研讨会（24th International Symposium on Vision, Modeling and Visualization）会议论文集，2019年。联系方式：[e-mail]

搜集汇总

背景与挑战

背景概述

该数据集是一个偏振图像数据集，主要用于支持偏振去马赛克算法的研究，特别是针对单色和彩色偏振焦平面阵列。数据集包含图像数据文件、相关代码和文档，由KAUST的Visual Computing Center于2020年发布，并基于一篇2019年的会议论文构建，适用于计算机视觉领域的偏振成像应用。