Super Resolution Using Neural Network

@article{Patil2008SuperRU,
  title={Super Resolution Using Neural Network},
  author={Varsha Hemant Patil and Dattatraya S. Bormane and Vaishalee S. Pawar},
  journal={2008 Second Asia International Conference on Modelling & Simulation (AMS)},
  year={2008},
  pages={492-496}
}
Super resolution imaging refers to inferring the missing high resolution image from low resolution image(s). Super resolution methods are generally classified into reconstruction based and learning based methods. The learning based methods fully learn the intensity prior between all bands of images. For most of these, some fake information can be inevitably introduced into synthesized high resolution image though the image may offer visually good effects. For medical image analysis, it might… CONTINUE READING