Image artifact reduction using a neural network

Image analysis – Learning systems – Neural networks

Reexamination Certificate

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C382S275000, C706S015000

Reexamination Certificate

active

07346208

ABSTRACT:
A neural network is trained and used to reduce artifacts in spatial domain representations of images that were compressed by a transform method and then decompressed. For example, the neural network can be trained and used to reduce artifacts such as blocking and ringing artifacts in JPEG images.

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