Abstract
This paper presents a multiple description image coding scheme that facilitates the transmission of digital imagery over multiple noisy channels. The proposed scheme divides the image into smaller parts that are transmitted over the individual channels of an inverse multiplexing system. The division or splitting is done in such a fashion that it facilitates the interpolation of lost coefficients in the case of one or more channel failures. To combat the effects of channel noise, a novel joint source-channel coding scheme is employed, which uses punctured convolutional channel codes and trellis-coded quantization. At the receiver, the image is reconstructed by proper assembly of the data received from each channel. In case of channel failure, the missing coefficients are estimated from the available data with the use of a novel post processing scheme. For operation over four noisy channels with various bit error probabilities, we investigate the quantitative and subjective performance with and without channel failures.
Original language | English (US) |
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Title of host publication | IEEE International Conference on Image Processing |
Pages | 106-109 |
Number of pages | 4 |
Volume | 1 |
State | Published - 2001 |
Event | IEEE International Conference on Image Processing (ICIP) 2001 - Thessaloniki, Greece Duration: Oct 7 2001 → Oct 10 2001 |
Other
Other | IEEE International Conference on Image Processing (ICIP) 2001 |
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Country/Territory | Greece |
City | Thessaloniki |
Period | 10/7/01 → 10/10/01 |
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering