Image artifact reduction using a neural network

Details Image artifact reduction using a neural network Image artifact reduction using a neural network

2008-03-18

2008-03-18

Wu, Jingge (Department: 2624)

Image analysis

Learning systems

Neural networks

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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