CNN-Enabled Visibility Enhancement Framework for Vessel Detection under Haze Environment

<div>Six different original sharp maritime images selected to generate synthetic hazy images. From left to right: (a) original images; hazy images with (b) <span class="nowrap"><svg height="12.5794pt" id="M130" style="vertical-align:-3.29107pt" version="1.1" viewbox="-0.0498162 -9.28833 91.0375 12.5794" width="91.0375pt" 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="M686 28C612 35 607 44 591 112C563 234 541 360 519 489L489 666L457 658L147 121C100 40 89 36 24 28L17 0H240L250 28C168 34 159 41 190 101L262 237H482C495 180 503 137 510 91C517 47 514 35 441 28L433 0H677L686 28ZM475 280H285L429 541H431L475 280Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,10.244,3.132)"><path d="M1000 227C1000 351 905 451 780 451C658 451 590 380 530 279C465 385 388 451 261 451C168 451 38 376 38 210C38 98 121 -12 261 -12C381 -12 448 59 508 160C573 53 652 -12 780 -12C879 -12 1000 64 1000 227ZM485 199C434 109 370 25 271 25C188 25 133 117 133 241C133 355 189 414 249 414C357 414 426 302 485 199ZM903 204C903 70 852 25 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Journal of Advanced Transportation

fig5

Figure 5

Figure 5: CNN-Enabled Visibility Enhancement Framework for Vessel Detection under Haze Environment 