Speckle Noise Removal Model Based on Diffusion Equation and Convolutional Neural Network

<div>Results of test image VI. (a) <span class="nowrap"><svg height="8.55521pt" id="M46" style="vertical-align:-0.2063904pt" version="1.1" viewbox="-0.0498162 -8.34882 28.6589 8.55521" width="28.6589pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M548 455L523 469C505 448 490 439 461 439C416 439 374 447 316 447C144 447 23 310 23 161C23 47 89 -12 179 -12C312 -12 429 106 429 244C429 303 419 344 368 386L371 388C404 383 440 378 474 378C507 378 530 411 548 455ZM350 274C350 191 308 25 198 25C144 25 108 75 108 157C108 264 170 395 276 395C296 395 320 384 333 360C347 334 350 316 350 274Z"></path></g><g transform="matrix(.013,0,0,-0.013,10.979,0)"><path d="M535 323V373H52V323H535ZM535 138V188H52V138H535Z"></path></g><g transform="matrix(.013,0,0,-0.013,22.242,0)"><path d="M456 178V225H360V632H320C217 496 115 347 20 206V178H280V106C280 40 276 34 189 27V0H445V27C364 34 360 39 360 106V178H456ZM280 225H82C149 335 214 431 278 520H280V225Z"></path></g></svg>.</span> (b) The results of this model. (c) VA results. (d) SRAD results. (e) RED-Net results. (f) DnCNN results.</div>

Computational Intelligence and Neuroscience

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Figure 7

Figure 7: Speckle Noise Removal Model Based on Diffusion Equation and Convolutional Neural Network 