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Patent drawing for Method and apparatus of neural network based image signal processor
US 10,460,231 B2
Image processing US 10,460,231 B2 Not in force

Method and apparatus of neural network based image signal processor

This invention describes an image signal processing system that uses a special kind of artificial intelligence, called a convolutional neural network, to improve pictures. The network works by splitting an input image into different detail levels, processing each level separately, and then combining them to create a better-quality output image. It learns how to do this by being shown many examples of raw images and what the desired improved versions should look like.

Why it matters: Filed before widespread integration of AI accelerators into consumer hardware, the significant advancements in mobile and edge AI processing power since 2016 make deploying such a sophisticated neural network ISP practical and performant on everyday devices.

Status
Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build
SpecializedHeavy software system, machine learning expertise

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