Adaptive-rate digital communication system for imagery

John E. Kleider; Glen P. Abousleman

doi:10.1117/12.316433

6 July 1998 Adaptive-rate digital communication system for imagery

John E. Kleider, Glen P. Abousleman

Proceedings Volume 3387, Visual Information Processing VII; (1998) https://doi.org/10.1117/12.316433
Event: Aerospace/Defense Sensing and Controls, 1998, Orlando, FL, United States

Abstract

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 system using ARCM achieves 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. We extend the adaptive image transmission system to video, and present a candidate system for wireless mobile video applications using orthogonal frequency division multiplexing (OFDM).

Citation Download Citation

John E. Kleider and Glen P. Abousleman "Adaptive-rate digital communication system for imagery", Proc. SPIE 3387, Visual Information Processing VII, (6 July 1998); https://doi.org/10.1117/12.316433

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KEYWORDS

Image compression

Forward error correction

Modulation

Image quality

Video

Orthogonal frequency division multiplexing

Image transmission

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