Low-Complexity Compression Algorithm for Hyperspectral Images Based on Distributed Source Coding

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">Algorithm</td><td align="center">Complexity</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left">JPEG-LS</td><td align="center">1</td></tr><tr><td align="left">LUT</td><td align="center">1.14</td></tr><tr><td align="left">3D CALIC</td><td align="center">28.4</td></tr><tr><td align="left">KSP</td><td align="center">25.2</td></tr><tr><td align="left">s-DSC</td><td align="center">0.89</td></tr><tr><td align="left">DSC-lossless</td><td align="center">0.78</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Comparison of complexity of various algorithms.

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Low-Complexity Compression Algorithm for Hyperspectral Images Based on Distributed Source Coding 