Blind Image Inpainting with Mixture Noise Using <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-4.3443pt" id="M1" height="15.7437pt" version="1.1" viewBox="-0.0657574 -11.3994 13.895 15.7437" width="13.895pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g113-127" d="M442 569C442 628 407 660 362 660C328 660 292 648 255 616C200 568 165 508 123 334L106 264C80 242 52 222 23 202L30 176C54 191 76 205 100 222L87 166C73 103 79 43 95 19C108 0 139 -12 169 -12C242 -12 318 38 369 106L354 129C322 93 260 49 215 49C173 49 147 81 170 187L189 274C293 344 442 452 442 569ZM380 565C380 478 267 377 196 322L216 406C254 556 282 623 332 623C364 623 380 596 380 565Z"/></g><g transform="matrix(.012,0,0,-0.012,7.207,4.134)"><path id="g50-49" d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"/></g></svg> and Total Regularization

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/cmmm/volume-2022/3180612/figures/3180612.fig.006a.svgz" name="3180612.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Input image</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/cmmm/volume-2022/3180612/figures/3180612.fig.006b.svgz" name="3180612.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Ground truth</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/cmmm/volume-2022/3180612/figures/3180612.fig.006c.svgz" name="3180612.fig.006c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>WNNM (PSNR: 32.85 dB)</td></tr><tr class="fig-image" id="d"><td><object data="https://static-preview.hindawi.com/articles/cmmm/volume-2022/3180612/figures/3180612.fig.006d.svgz" name="3180612.fig.006d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>McS: (PSNR: 33.85 dB)</td></tr></table>

<div>Inpainting results on images Monarch by different methods (Text mask).</div>

Computational and Mathematical Methods in Medicine

fig6

Figure 6

Figure 6: Blind Image Inpainting with Mixture Noise Using <svg xmlns:xlink="http://www.w3.org/1999/xlink" xmlns="http://www.w3.org/2000/svg" style="vertical-align:-4.3443pt" id="M1" height="15.7437pt" version="1.1" viewBox="-0.0657574 -11.3994 13.895 15.7437" width="13.895pt"><g transform="matrix(.017,0,0,-0.017,0,0)"><path id="g113-127" d="M442 569C442 628 407 660 362 660C328 660 292 648 255 616C200 568 165 508 123 334L106 264C80 242 52 222 23 202L30 176C54 191 76 205 100 222L87 166C73 103 79 43 95 19C108 0 139 -12 169 -12C242 -12 318 38 369 106L354 129C322 93 260 49 215 49C173 49 147 81 170 187L189 274C293 344 442 452 442 569ZM380 565C380 478 267 377 196 322L216 406C254 556 282 623 332 623C364 623 380 596 380 565Z"/></g><g transform="matrix(.012,0,0,-0.012,7.207,4.134)"><path id="g50-49" d="M245 635C92 635 37 457 37 312C37 149 91 -12 244 -12C395 -12 449 166 449 312C449 469 395 635 245 635ZM243 598C332 598 358 454 358 312C358 173 334 26 245 26C158 26 128 174 128 313S152 598 243 598Z"/></g></svg> and Total Regularization 

Computational and Mathematical Methods in Medicine

Blind Image Inpainting with Mixture Noise Using and Total Regularization

Figure 6