Now showing items 1-3 of 3

    • Deep learning based image super-resolution 

      Madhu, Prathmesh Rajesh (Dhirubhai Ambani Institute of Information and Communication Technology, 2016)
      Super-resolution is an algorithmic approach to increase the spatial resolution ofan image. In areas like medical imaging, satellite image processing, biometrics,robotics, text to speech conversion, optical character ...
    • Image and video super resolution using deep learning 

      Parikh, Dharit (Dhirubhai Ambani Institute of Information and Communication Technology, 2019)
      The aim of the Super-Resolution (SR) technique is to recover the High Resolution (HR) image from a Low Resolution (LR) image. It has applications in many computer vision areas such as medical imaging, face recognition and ...
    • Super-resolution of hyperspectral images 

      Bhimani, Amitkumar H. (Dhirubhai Ambani Institute of Information and Communication Technology, 2011)
      Hyperspectral (HS) images are used for space areal application, target detection and remote sensing application. HS images are very rich in spectral resolution but at a cost of spatial resolution. HS images generated by ...