Low-complexity video coding for wireless image transmission in capsule endoscopy

Authors:
Kenichi Takizawa;Ryu Miura
Affiliations:
National Institute of Information and Communications Technology (NICT), Hikrarino-oka, Yokosuka, Japan;National Institute of Information and Communications Technology (NICT), Hikrarino-oka, Yokosuka, Japan
Venue:
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
Year:
2013

Citing 3
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Very low complexity low rate image coding for the wireless endoscope

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Noiseless coding of correlated information sources

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Error concealment and post processing for the capsule endoscope

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Abstract

This paper presents a low-complexity video compression technique for wireless transmission in capsule endoscopy. The capsule endoscopy uses a capsule device to convey images taken in the digestive tract wirelessly to a body-worn device. Since the capsule device has small capacity on its battery, compression technique is crucial that is realized in less power consumption. The technique shown in this paper is theoretically based on Slepian-Wolf coding, in which side information available at transmitter side is treated as well as side information at its receiver side. Therefore, energy-hungry processes for achieving video compression including estimation of motion vectors are moved to the receiver side. Simulation results show that the encoding method provides compression rate close to its lower bound for an 8-bit quantized raw (Bayer) data by using a regular low-density parity check (LDPC) under additive white Gaussian noise (AWGN) channel.