Abstract
Video compression strategy consists of a tacit tradeoff of the spatial redundancy, whose spatial singularities are captured ef- ficiently in terms of zero-phase symmetric wavelet transform (WT) subband coefficients, with their temporal redundancy. On the other hand, the redundancy is robust under noisy channel, and further- more, an over reduction spatially may hurt the temporal correspon- dence principle yielding a large frame rate reduction. The video error resilient codes are built upon the single frame error resilient codes, which must have known positions partitioned carefully in order to protect against wireless channel errors during transmission of the discrete WT coefficients. These coefficients have been compressed based on the traditional compression scheme using scalar quanti- zation, runlength, and Huffman coding. The discrete WT biorthogo- nal (7, 9) wavelet is used. The code is illustrated with relatively good performance for (480348038 bits) forward-looking infrared images, compressed at up to 0.09 bits per pixel, and bit error rates at about
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