Simiao Zhang

Learn More
We propose a new algorithm about multi-scale-based super-resolution on face image. First, steerable pyramid is used to capture low-level local features in face images, and then these features are combined with pyramid-like parent structure and image patch synthetic approach based on neighborhood to predict the best prior. After that, the prior is integrated(More)
  • Jagruti Rajput, Bhailal Limbasiya, +25 authors Chen Lin
  • 2015
Super-resolution technique is used for resolution enhancement. In Multiframe Super-resolution multiple low resolution images are combined to get high resolution image. Most important part of Multiframe Super-resolution is Image Registration that estimates translation,rotation and scaling parameters. In this paper they propose combination of PCA and GPOF(More)
  • 1