Error resilience and recovery in streaming of embedded video
Signal Processing - Image and Video Coding beyond Standards
An efficient parallel algorithm for list Viterbi decoding
Signal Processing
A New Method for Optimal Rate Allocation for Progressive Image Transmission over Noisy Channels
DCC '00 Proceedings of the Conference on Data Compression
Joint Source/Channel Coding Using Arithmetic Codes
DCC '00 Proceedings of the Conference on Data Compression
Globally Optimal Uneven Error-Protected Packetization of Scalable Code Streams
DCC '02 Proceedings of the Data Compression Conference
Rate-Based versus Distortion-Based Optimal Joint Source-Channel Coding
DCC '02 Proceedings of the Data Compression Conference
Progressive Image Communication over Binary Channels with Additive Bursty Noise
DCC '02 Proceedings of the Data Compression Conference
An Analysis of Perceptual Artifacts in MPEG Scalable Audio Coding
DCC '02 Proceedings of the Data Compression Conference
Optimal channel rate allocation for multimedia communication over fading wireless channels
WMuNeP '05 Proceedings of the 1st ACM workshop on Wireless multimedia networking and performance modeling
EURASIP Journal on Applied Signal Processing
An adaptive source-channel coding with feedback for progressive transmission of medical images
International Journal of Telemedicine and Applications - Special issue on electronic health
Journal of Visual Communication and Image Representation
Efficient JPEG2000 image transmission using RCPT codes based on channel operating regions
Journal of Mobile Multimedia
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Numerous sophisticated techniques have been developed over the last several decades to efficiently transmit images across noisy channels. Here, we cascade an existing image coder with carefully chosen error control coding, and thus produce a progressive image compression scheme whose performance on a noisy channel is significantly better than that of previously known image compression techniques. The main idea is to trade off the available transmission rate between source coding and channel coding in an efficient manner. This coding system is easy to implement and has acceptably low complexity. Furthermore, effectively no degradation due to channel noise can be detected; instead, the penalty paid due to channel noise is a reduction in source coding resolution. As an example, for the 512/spl times/512 Lena image, at an overall transmission rate of 1 bit per pixel, and for binary symmetric channels with bit error probabilities 10/sup -3/, 10/sup -2/, and 10/sup -1/, the proposed system typically outperforms other existing systems by at least 2.6 dB, 2.8 dB, and 8.9 dB, respectively.