Progressive Image Coding on Noisy Channels
DCC '97 Proceedings of the Conference on Data Compression
Progressive Joint Source-Channel Coding in Feedback Channels
DCC '99 Proceedings of the Conference on Data Compression
Joint Source-Channel Subband Coding of Images
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 4 - Volume 4
DCC '04 Proceedings of the Conference on Data Compression
A Fast Wavelet-Based Image Progressive Transmission Method Based on Vector Quantization
ICICIC '06 Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2
Journal on Image and Video Processing
IEEE Transactions on Signal Processing
Real-time unequal error protection algorithms for progressive image transmission
IEEE Journal on Selected Areas in Communications
Joint source/channel coding for image transmission with JPEG2000 over memoryless channels
IEEE Transactions on Image Processing
Rate-distortion optimized hybrid error control for real-time packetized video transmission
IEEE Transactions on Image Processing
Progressive Transmission of Images Over Fading Channels Using Rate-Compatible LDPC Codes
IEEE Transactions on Image Processing
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A novel adaptive source-channel coding with feedback for progressive transmission of medical images is proposed here. In the source coding part, the transmission starts from the region of interest (RoI). The parity length in the channel code varies with respect to both the proximity of the image subblock to the RoI and the channel noise, which is iteratively estimated in the receiver. The overall transmitted data can be controlled by the user (clinician). In the case of medical data transmission, it is vital to keep the distortion level under control as inmost of the cases certain clinically important regions have to be transmitted without any visible error. The proposed system significantly reduces the transmission time and error. Moreover, the system is very user friendly since the selection of the RoI, its size, overall code rate, and a number of test features such as noise level can be set by the users in both ends. A MATLAB-based TCP/IP connection has been established to demonstrate the proposed interactive and adaptive progressive transmission system. The proposed system is simulated for both binary symmetric channel (BSC) and Rayleigh channel. The experimental results verify the effectiveness of the design.