NDLI: Adaptive-rate coding modulation system for digital image transmission

Content Provider	IEEE Xplore Digital Library
Author	Kleider, J.E. Abousleman, G.P.
Copyright Year	1998
Description	Author affiliation: Space & Syst. Technol. Group, Motorola Inc., Scottsdale, AZ, USA (Kleider, J.E.)
Abstract	Summary form only given. We propose two methods to provide optimal image quality at a fixed image delivery rate for any given transmission channel condition. The first method, channel-controlled variable-rate (CCVR) image coding, employs adaptive-rate source coding and channel coding, while operating with a fixed modulation symbol rate. The second method, adaptive-rate coding-modulation (ARCM), extends the CCVR system by utilizing adaptive modulation. Both methods use a variable-compression-ratio image coder and variable-rate channel coding. The objective is to maximize the quality of the reconstructed image at the receiver when transmitted through Rayleigh fading and additive white Gaussian noise (AWGN). The CCVR system maximizes the reconstructed image quality through a bit-rate trade-off between the source and channel coders. The ARCM method provides a trade-off between the rates of source and channel coding, and the modulation rate. Both methods require knowledge of the channel state which is used by the receiver to inform the transmitter, via a feedback channel, of the optimal strategy for image compression, channel coding, and modulation format. The resulting systems achieve up to a 17 dB improvement over the peak signal-to-noise ratio (PSNR) performance of a system using a fixed-compression-ratio image coder and fixed-rate channel coding. Reconstructed image quality is evaluated through both quantitative and subjective measures using peak signal-to-noise ratio and visual analysis, respectively.
File Size	61420
File Format	PDF
ISBN	0818684062
ISSN	10680314
DOI	10.1109/DCC.1998.672294
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-03-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding Digital modulation Modulation coding Digital images Channel coding Image quality Image reconstruction PSNR AWGN Source coding
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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