| 基于伯努利采样的高速摄像机图像实时压缩 |
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| 引用本文： | 王斌,梁杰,王盼,顾正华,盖文.基于伯努利采样的高速摄像机图像实时压缩[J].实验流体力学,2021,35(6):52-57. |
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| 作者姓名： | 王斌 梁杰 王盼 顾正华 盖文 |
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| 作者单位： | 中国空气动力研究与发展中心 设备设计与测试技术研究所，四川 绵阳 621000 |
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| 基金项目： | 国家自然科学基金（11602292，61801479） |
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| 摘 要： | 高速摄像机被广泛应用于爆炸力学、流体力学、弹道观测等科研试验中。受电子系统存储带宽和容量限制，高速摄像机无法实现长时间拍摄。对拍摄图像进行压缩是延长高速摄相机拍摄时长的有效方法。然而，现有图像压缩方法因计算复杂度高、时间长，无法满足高速摄相机海量图像压缩需求。为此，提出一种低硬件成本的实时图像压缩方法:采用伯努利采样方法，在CCD或CMOS成像过程中，随机采样部分像素得到压缩图像；再通过未知像素估计算法重建压缩图像。模拟测试结果表明:当图像压缩率达到99%时，从重建图像中仍能观察到图像主要视觉信息，优于TOM拍摄图像的插值放大结果。
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| 关 键 词： | 高速摄影 图像压缩 伯努利分布 |
| 收稿时间： | 2020-04-07 |
A Bernoulli sampling based image real-time compression method for high-speed camera |
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| Affiliation: | Facility Design and Instrumentation Institute of China Aerodynamics Research and Development Center, Mianyang Sichuan 621000, China |
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| Abstract: | High-speed cameras are widely used in explosive mechanics, hydrodynamics, trajectory observation and other scientific research experiments. Due to massive data and the limit of storage and bandwidth of electronic system, high-speed cameras cannot shoot for long periods of time. Compression of captured images is an effective way to extend the recording time of the high-speed cameras. However, the existing image compression methods can not solve high-speed camera mass image compression task caused by the large calculation complexity and long calculation time. In this paper, a low hardware cost, real-time image compression method with Bernoulli sampling is developed. The method randomly samples the pixels with Bernoulli distribution directly in the process of CCD or CMOS image acquisition. Then in usage, the raw image is reconstructed with the unknown pixel estimating method. The simulation results show that the main visual information of the image can still be observed from the reconstruction image, even when the image compression rate reaches 99%, which is superior to the super-resolution enhancement result of the TOM (Thin Out Mode) with interpolation. |
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