Passive Framework of Sparse Region Duplication Detection from Digital Images

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/js/volume-2022/6580508/figures/6580508.fig.001a.svgz" name="6580508.fig.001a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Original image</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/js/volume-2022/6580508/figures/6580508.fig.001b.svgz" name="6580508.fig.001b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Tampered image</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/js/volume-2022/6580508/figures/6580508.fig.001c.svgz" name="6580508.fig.001c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Detected result</td></tr></table>

<div>A visual example of copy-move forgery (CMF).</div>

Journal of Sensors

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Figure 1

Figure 1: Passive Framework of Sparse Region Duplication Detection from Digital Images 