首页> 外文会议>Electro-Optical and Infrared Systems: Technology and Applications IV; Proceedings of SPIE-The International Society for Optical Engineering; vol.6737 >Improvement of automatic acquisition of moving objects in long-distance imaging by blind image restoration
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Improvement of automatic acquisition of moving objects in long-distance imaging by blind image restoration

机译:通过盲图复原改善远距离成像中运动物体的自动获取

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Automatic acquisition of moving objects from long-distance video sequence is a fundamental task in many applications such as surveillance and reconnaissance. However, the atmospheric degradations, which include blur and spatiotemporal-varying distortions, may reduce the quality of such videos, and therefore, the ability to acquire moving targets automatically. Pervious studies in the field of automatic acquisition of moving objects ignored the blur in the video frames. They usually employed simple methods for noise reduction (such as temporal and spatial smoothing) and motion compensation (registration of frames). The purpose of this work is to determine the effect of image restoration (de-blurring) on the ability to acquire moving objects (such as humans and vehicles) automatically. This is done here by first, restoring the long-distance thermal videos using a novel blind image deconvolution method developed recently, and then comparing the automatic acquisition capabilities in the restored videos versus the non-restored versions. Results show that image restoration can significantly improve the automatic acquisition capability. These results correspond to a previous study which demonstrated that image restoration can significantly improve the ability of human observers to acquire moving objects from a long-range thermal video.
机译:从远程视频序列自动获取运动对象是许多应用(如监视和侦察)中的一项基本任务。但是,大气质量下降(包括模糊和时空变化的失真)可能会降低此类视频的质量,因此会降低自动获取移动目标的能力。在自动获取运动对象领域中的先前研究忽略了视频帧中的模糊。他们通常采用简单的方法进行降噪(例如时间和空间平滑)和运动补偿(帧配准)。这项工作的目的是确定图像恢复(去模糊)对自动获取移动物体(例如人和车辆)的能力的影响。首先,使用最近开发的新型盲图像反卷积方法还原远距离热视频,然后将还原后的视频与未还原的视频中的自动采集功能进行比较。结果表明,图像复原可以显着提高自动采集能力。这些结果与先前的研究相对应,该研究表明图像恢复可以显着提高人类观察者从远程热视频中获取运动物体的能力。

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