New algorithms for example-based super-resolution

  • Authors:
  • László Czúni;Gergely Császár;Dae-Sung Cho;Hyun Mun Kim

  • Affiliations:
  • Dep. of Image Processing and Neurocomputing, University of Veszprém;Dep. of Image Processing and Neurocomputing, University of Veszprém;Samsung Advanced Institute of Technology, Multimedia Lab, Suwon, Korea;Samsung Advanced Institute of Technology, Multimedia Lab, Suwon, Korea

  • Venue:
  • CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

This paper describes enhancements on example-based super-resolution. Example-based super resolution has the advantage that only one observation of the low-resolution image is required but reconstruction requires long processing time. We propose techniques to achieve faster operation and/or better quality by several modifications of previous techniques. We show some typical data as quantitative results also including video in electronic version.