Single-image superresolution of self-similar textures

  title={Single-image superresolution of self-similar textures},
  author={Ido Zachevsky and Yehoshua Y. Zeevi},
  journal={2013 IEEE International Conference on Image Processing},
Single-image superresolution has become a widely-studied subject in image processing in recent years. Although considerable effort has been devoted in this context to contour enhancement, much less has been done to improve the textures of a degraded image. In this study, we present a novel algorithm which utilizes the power-law spectra of approximated 1/f processes, fitting a model of degraded natural textures to recover the information lost by blurring. A mosaic of realizations of the… CONTINUE READING