Now showing items 1-4 of 4

    • Automatic Red-Channel underwater image restoration 

      Galdran, A.; Pardo, D.; Picón, A.; Alvarez-Gila, A. (2015-12-31)
      Underwater images typically exhibit color distortion and low contrast as a result of the exponential decay that light suffers as it travels. Moreover, colors associated to different wavelengths have different attenuation ...
    • A Deep Learning Approach to the Inversion of Borehole Resistivity Measurements 

      Shahriari, M.; Pardo, D.; Picon, A.; Galdran, A.; Del Ser, J.; Torres-Verdin, C. (2020-04)
      Borehole resistivity measurements are routinely employed to measure the electrical properties of rocks penetrated by a well and to quantify the hydrocarbon pore volume of a reservoir. Depending on the degree of geometrical ...
    • Enhanced variational image dehazing 

      Galdran, A.; Vazquez-Corral, J.; Pardo, D.; Bertalmio, M. (2015-12-31)
      Images obtained under adverse weather conditions, such as haze or fog, typically exhibit low contrast and faded colors, which may severely limit the visibility within the scene. Unveiling the image structure under the haze ...
    • Fusion-based variational image dehazing 

      Galdran, A.; Vazquez-Corral, J.; Pardo, D.; Bertalmio, M. (2017-02-01)
      We propose a novel image-dehazing technique based on the minimization of two energy functionals and a fusion scheme to combine the output of both optimizations. The proposed fusion-based variational image-dehazing (FVID) ...