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An Experimental Evaluation of Debayering Algorithms on GPUs for Recording Panoramic Video in Real-Time

机译:基于GPU的去拜耳算法实时记录全景视频的实验评估

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Modern video cameras often only capture a single color per pixel in a single pass operation. This process is called ltering, where pixels are ltered through a color her array, and the Bayer Her is perhaps the most common lter used today. This means that the missing color channels must be restored in the image or the video frame in a post-processing step, i.e., a process referred to as debayering. In a live video scenario, this operation must be performed eciently in order to output each video frame in real-time, while also yielding acceptable visual quality. Here, the authors evaluate debayering algorithms implemented on a GPU for realtime panoramic video recordings using multiple 2K-resolution cameras.
机译:现代摄像机通常在一次通过操作中每个像素只能捕获一种颜色。此过程称为过滤,其中像素通过彩色她的阵列过滤,而拜耳Her可能是当今使用的最常见的过滤器。这意味着必须在后处理步骤,即称为去拜耳的过程中,在图像或视频帧中恢复丢失的色彩通道。在实况视频场景中,必须有效执行此操作,以便实时输出每个视频帧,同时还可以产生可接受的视觉质量。在这里,作者评估了使用多个2K分辨率摄像机在GPU上实施的去拜耳算法,用于实时全景视频录制。

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