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However, the previous deep-learning-based image super-resolution methods rarely take image prior into account.
So it inspires us to explore how to take image prior into account for deep-learning-based method.
One of the problems we focus on is how to take image prior into account for deep-learning-based image super-resolution.
Computer vision companies are increasingly looking to take image processing back from the cloud and get everything happening on-device so that the data can be interpreted as quickly as possible.
It is used to take image prior into account to fastly and accurately predict the image details and to make the neurons work on the local image patches to avoid compromise to different image contents.
For an image application, the generation function, G, can take image data, i, and message, m and/or other image data, j as input, and outputs a watermark, w.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com