Now showing items 1-3 of 3

    • Non-homogeneous Dehazing of Images by Attention Mechanism in Deep Framework 

      Dhedhi, Akash T. (Dhirubhai Ambani Institute of Information and Communication Technology, 2022)
      The availability of dehazing datasets has enabled various deep learning techniques to perform effectively on hazy images. Most of the developed frameworks focus on removing homogeneous haze. However, homogeneous centric ...
    • Non-Homogeneous Haze Removal Using Deep Neural Networks 

      Sharma, Harsh (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Image Dehazing is a famous computer vision application that has been in the researcharea for the past decade. It involves reducing or removing haze/fog froman image to extract more information and make it more visually ...
    • Unsupervised Cycle GAN based Homogeneous and Non-homogeneous Image Dehazing 

      Vekariya, Jaymin (Dhirubhai Ambani Institute of Information and Communication Technology, 2023)
      Atmospheric phenomena like haze, fog, and smoke degraded image visibility. Asa result, there is less contrast, colour distortion, etc. in the obtained image. Inremote sensing, computer vision, and photography, haze reduction ...