Single image dehazing by dark channel prior and luminance adjustment

Lung computed tomography image enhancement using U‐Net segmentation

“…The AG displays the image's high contrast, textural variation, and clarity. When the value of AG is higher, as demonstrated below, the image is clearer and has a higher intensity value 35 : $$$$ \nabla \overline{G}=\frac{1}{MN}\sum \limits_{i=1}^M\kern0.1em \sum \limits_{j=1}^N\kern0.1em {\left[{\left(\frac{\partial f\left(i,j\right)}{\partial x}\right)}^2+{\left(\frac{\partial f\left(i,j\right)}{\partial y}\right)}^2\right]}^{\frac{1}{2}}, $$$$ where $$$ \frac{\partial f\left(i,j\right)}{\partial x} $$$ and $$$ \frac{\partial f\left(i,j\right)}{\partial y} $$$ are the one‐order differentials of pixels ( i , j ) in the x ‐ and y ‐direction, respectively; M and N are the number of rows and columns of the image dimensions 35 …”

“…The AG displays the image's high contrast, textural variation, and clarity. When the value of AG is higher, as demonstrated below, the image is clearer and has a higher intensity value 35 :…”

“…∂y are the one-order differentials of pixels (i,j) in the x-and y-direction, respectively; M and N are the number of rows and columns of the image dimensions. 35…”

Aerial Images Enhancement Using Perceptual Dark Channel Prior

“…Images, such as dusty ones, commonly suffer from a decrease in light and contrast [3]; however, such a decrease plays an important role in aerial images. The aerial image is a photographic process carried out from the air, often by using air transports [4]. Aerial images present information on the following: the surface of the earth and its events, as well as the effect of erosion from cutting forests and mountains; archaeological sites; agricultural lands and large pastures, and which ones to be distributed to the public; and natural disasters, for their study and prevention [5].…”