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Advances in Visual Data Compression and Communication
book

Advances in Visual Data Compression and Communication

by Feng Wu
July 2014
Intermediate to advanced content levelIntermediate to advanced
513 pages
16h 40m
English
Auerbach Publications
Content preview from Advances in Visual Data Compression and Communication
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17.4 Implementation 379
image denoising techniques at the receiver, and emphasize that denoising should be
immediately applied to channel output.
The denoising processes for low-pass and high-pass frames are identical. We use
different denoising techniques to deal with packet losses and random-valued noises.
In particular, we adopt the classic median filter [419] to handle losses. Under ideal
interleaving, packet loss creates randomly dispersed pixel “holes” in the frame. These
holes are filled with the median of surrounding eight pixel values. We have tried more
advanced median filters such as the directional weighted median filter [428], but the
performance improvement is marginal at moderate packet loss ratios.
Then BM3D [420] is adopted to
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Publisher Resources

ISBN: 9781482234138