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Super-resolution imaging for a multi-sensor internet of things environment

机译:多传感器物联网环境的超分辨率成像

摘要

Image combination techniques are provided for a multi-sensor Internet of Things environment. An exemplary method comprises: dynamically determining an image resolution for at least a portion of an image to be collected by and/or transmitted by a plurality of image sensors within a distributed network based on one or more predefined image resolution rules with respect to an available bandwidth; and combining the image portions from the plurality of image sensors to generate at least one higher resolution image, such as a super-resolution image. The predefined image resolution rules specify, for example, that the portions of an image that have changed should be transmitted with a higher resolution relative to portions of the image that have not changed; and/or that multiple versions of a given image should be combined when the given image is degraded by noise. A plurality of low resolution images having a substantially similar alignment are optionally obtained and combined to obtain at least one high resolution image.
机译:为多传感器的物联网环境提供了图像组合技术。一种示例性方法包括:基于一个或多个关于可用图像的预定图像分辨率规则,动态地确定要由分布式网络内的多个图像传感器收集和/或由多个图像传感器发送的图像的至少一部分的图像分辨率。带宽;组合来自多个图像传感器的图像部分以产生至少一个高分辨率图像,例如超分辨率图像。预定义的图像分辨率规则指定,例如,已更改的图像部分应相对于未更改的图像部分以更高的分辨率进行传输;和/或当给定图像被噪声降级时,应合并给定图像的多个版本。任选地获得具有基本相似取向的多个低分辨率图像,并将其组合以获得至少一个高分辨率图像。

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