Wavelet-based image compression scheme with the error-resilient entropy coding (EREC) for noisy channels

Duc Hai N. Do; Terry L. Jones; David L. Ii; Harold H. Szu; Victor C. Stievenart; Tracey Beauchat

doi:10.1117/12.271769

3 April 1997 Wavelet-based image compression scheme with the error-resilient entropy coding (EREC) for noisy channels

Duc Hai N. Do, Terry L. Jones, David L. Ii, Harold H. Szu, Victor C. Stievenart, Tracey Beauchat

Proceedings Volume 3078, Wavelet Applications IV; (1997) https://doi.org/10.1117/12.271769
Event: AeroSense '97, 1997, Orlando, FL, United States

Abstract

The error resilient entropy coding of the Cambridge University group adapts variable-length blocks of data into fixed-length slots with known positions, in order to protect against possible channel errors during transmission of the discrete wavelet transform (DWT) coefficients. These coefficients have ben compressed based on the standard compression scheme using scalar quantization, runlength and Huffman coding. The DWT bi-orthogonal wavelet is used. The code is illustrated with relatively good performance for FLIR images, compressed at up to 0.09 bits per pixel, and bit error rates at about 10^-3. No additional attempt is made to perform decompression restoration.

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Duc Hai N. Do, Terry L. Jones, David L. Ii, Harold H. Szu, Victor C. Stievenart, and Tracey Beauchat "Wavelet-based image compression scheme with the error-resilient entropy coding (EREC) for noisy channels", Proc. SPIE 3078, Wavelet Applications IV, (3 April 1997); https://doi.org/10.1117/12.271769

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