Affordable Access

Publisher Website

Hyper-Resolution: Image detail reconstruction through parametric edges

Authors
Journal
Computers & Graphics
0097-8493
Publisher
Elsevier
Publication Date
Volume
29
Issue
6
Identifiers
DOI: 10.1016/j.cag.2005.09.011
Keywords
  • Computer Graphics Methodologies
  • Fundamentals
  • Image Processing And Computer Vision
  • Applications
  • Enhancement
  • Reconstruction
Disciplines
  • Computer Science

Abstract

Abstract Hyper-Resolution, a new technique for super-resolution reconstruction of images, is based on matching low-resolution target image details to their high-resolution counterparts from an image database. Central to the algorithm is a novel transform of image content from the orthogonal pixel space to a parametric space structured around edges. This approach offers improved quality, more flexibility and significantly faster performance than previous work in the field. Implementation strategies for achieving this efficiency are carefully outlined. The algorithm is evaluated by controlled assessment, qualitative evaluation, and applications to facial detail reconstruction and identification. The algorithm is finally analyzed through the comparison with alternative techniques.

There are no comments yet on this publication. Be the first to share your thoughts.

Statistics

Seen <100 times
0 Comments

More articles like this

Super-resolution reconstruction of hyperspectral i...

on IEEE transactions on image pro... November 2005

Super-resolution image reconstruction using non-pa...

on IEEE transactions on image pro... August 2012
More articles like this..