Frame recovery using multiple images in rolling shutter based systems,IET Optoelectronics

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Frame recovery using multiple images in rolling shutter based systems
IET Optoelectronics ( IF 2.3 ) Pub Date : 2023-07-17 , DOI: 10.1049/ote2.12100
Miguel Rêgo ₁ , Joaquin Perez ₂ , Pedro Fonseca ₁ , Luís Nero Alves ₁

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An algorithm for recovering transmitted static identifiers (IDs) in rolling shutter based Optical Camera Communication systems is proposed by the authors, considering a system comprised of a camera and a circular light source. The goal is to allow the correct decoding when the ID frame is only partially detected in the image. A baseline algorithm as reference for the frame recovery success rate (FRSR) and a reconstruction algorithm based on the idea of capturing multiple frame fragments and reassembling them is proposed in order to recover the transmitted ID not entirely seen on a single image. It was proven, by simulation, that the maximum distance at which the IDs recovery can be guaranteed is increased by 2.5 fold with the proposed algorithm, for 6-bit, 8-bit and 10-bit codewords. An experimental validation algorithm was also proposed, using image processing techniques to extract the bitstreams and test the ID recovery process. The proposed algorithm improves the FRSR for a given distance, even in the presence of considerable bit errors in the bitstreams extracted from the images.

中文翻译：

在基于卷帘快门的系统中使用多个图像进行帧恢复

作者提出了一种在基于卷帘快门的光学相机通信系统中恢复传输的静态标识符 (ID) 的算法，考虑了由相机和圆形光源组成的系统。目标是当仅在图像中部分检测到 ID 帧时允许正确解码。提出了一种作为帧恢复成功率（FRSR）参考的基线算法和一种基于捕获多个帧片段并重新组装它们的思想的重建算法，以恢复在单个图像上未完全看到的传输ID。通过仿真证明，对于6位、8位和10位码字，该算法可以保证ID恢复的最大距离增加了2.5倍。还提出了一种实验验证算法，使用图像处理技术提取比特流并测试 ID 恢复过程。即使从图像中提取的比特流中存在相当大的比特错误，所提出的算法也可以改善给定距离的 FRSR。

更新日期：2023-07-17

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