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3 April 1997 Wavelet-based image compression scheme with the error-resilient entropy coding (EREC) for noisy channels
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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