Video Error-Resilience Encoding and Decoding Based on Wyner-Ziv Framework for Underwater Transmission

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Coefficient value</td><td class="align_center">Natural binary code</td><td class="align_center">Gray code</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">-2</td><td class="align_center">11111110</td><td class="align_center">10000001</td></tr><tr><td class="align_left">-1</td><td class="align_center">11111111</td><td class="align_center">10000000</td></tr><tr><td class="align_left">0</td><td class="align_center">00000000</td><td class="align_center">00000000</td></tr><tr><td class="align_left">1</td><td class="align_center">00000001</td><td class="align_center">00000001</td></tr><tr><td class="align_left">2</td><td class="align_center">00000010</td><td class="align_center">00000011</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of natural binary codes and gray mapping codewords for coefficient values around zero.</div>

Wireless Communications and Mobile Computing

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Table 1

Table 1: Video Error-Resilience Encoding and Decoding Based on Wyner-Ziv Framework for Underwater Transmission 