A wavelet-based robust image coding technique for image transmission over noisy channels is presented here. The system combines classification and optimal bit allocation along with robust quantization to produce an in...
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A wavelet-based robust image coding technique for image transmission over noisy channels is presented here. The system combines classification and optimal bit allocation along with robust quantization to produce an inherent error-resistant bitstream without channel coding. In order to improve coding efficiency, an iterative algorithm is developed for implementing optimal bit allocation involving both rate distortion and channel optimization. Also, a modified channeloptimized uniform trellis coded quantization (TCQ) with a low computational complexity, yet an effective performance, is proposed and used to provide robust quantization. The system achieves both efficient image compression and robust image transmission over noisy channels. Computer simulations indicate that the proposed scheme is effective, even under mismatched channel conditions, and the performance is competitive with other robust image compression techniques. (c) 2006 Society of Photo-Optical Instrumentation Engineers.
This letter considers a combined source-channel coding scheme for image transmission over the uplink of a wireless IS-95 code division multiple access (CDMA) channel using discrete cosine transform. By adjusting the d...
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This letter considers a combined source-channel coding scheme for image transmission over the uplink of a wireless IS-95 code division multiple access (CDMA) channel using discrete cosine transform. By adjusting the dimension of the orthogonal signaling scheme, we trade the system error-correction capability for a faster bit rate. The increase in channel error is relieved by employing a set of quantizers which are designed using a joint source-channel optimization algorithm.
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