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Improving the power, bandwidth, and latency performance of UAV-based imaging systems by structural computation methods

机译:通过结构计算方法改善基于无人机的成像系统的功率,带宽和延迟性能

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In this paper we present a new method of compressing and decompressing video streams directly on video sensors and display panels, without the use of on-board or independent DSP processors. This eliminates compression/decompression processing delays, minimizes power use, reduces the physical size of the system, and significantly reduces the bandwidth required for the live transmission of images. The method enhances the capabilities of small size surveillance systems, UAVs as well as battery powered mobile entertainment equipment (digital cameras, iPODs, camcorders, camera cell phones...). To achieve these goals we make structural changes to the camera and display sub-system architectures so they can directly process the compressed streams. In particular, we geometrically distribute the light detection and generation elements to correspond to the DCT and ICT coefficients of the JPEG/MPEG algorithm. This eliminates many system redundancies which in turn deliver the aforementioned performance improvements.
机译:在本文中,我们提出了一种直接在视频传感器和显示面板上压缩和解压缩视频流的新方法,而无需使用板载或独立的DSP处理器。这消除了压缩/解压缩处理的延迟,最大程度地减少了功耗,减小了系统的物理尺寸,并显着减少了实时传输图像所需的带宽。该方法增强了小型监视系统,无人机和电池供电的移动娱乐设备(数码相机,iPOD,便携式摄像机,相机手机等)的功能。为了实现这些目标,我们对摄像头和显示子系统架构进行了结构更改,以便它们可以直接处理压缩流。特别地,我们将光检测和生成元素几何分布,以对应于JPEG / MPEG算法的DCT和ICT系数。这消除了许多系统冗余,从而实现了上述性能改进。

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