Progressive transmission of medical images using embedded zertree wavelet encoding

Chapman, C.; Sanei, Saeid; Dilmaghani, Reza Shams; Said, F.

doi:10.1109/biocas.2004.1454124

Cited by 1 publication

(1 citation statement)

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“…In [ 2 ], an effective scheme for image compression has been proposed where the spatial-spectral features of the image have been taken into account in order to show that wavelet transform is particularly well suited for progressive transmission. In [ 3 ], the concepts of DWT, EZW, progressive image transmission, and RoI have been utilized. These techniques have been effectively employed in our work.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Source-Channel Coding with Feedback for Progressive Transmission of Medical Images

Sanei

Nazarpour

2009

International Journal of Telemedicine and Applications

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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 in most 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.

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Section: Introductionmentioning

confidence: 99%