Carnegie Mellon University
Super-Resolution: Reconstruction or Recognition?

Simon Baker and Takeo Kanade
IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, June, 2001.

  • Adobe portable document format (pdf) (229KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Super-resolution is usually posed as a reconstruction problem. The low resolution input images are assumed to be noisy, down-sampled versions of an unknown super-resolution image that is to be estimated. A common way of inverting the down-sampling process is to write down the reconstruction constraints and then solve them, often adding a smoothness prior to regularize the solution. In this paper, we present two results which both show that there is more to super-resolution than image reconstruction. We first analyze the reconstruction constraints and show that they provide less and less useful information as the magnification factor increases. Afterwards, we describe a ``hallucination'' algorithm, incorporating the recognition of local features in the low resolution images, which outperforms existing reconstruction-based algorithms.

Sponsor: US DOD
Grant ID: MDA-904-98-C-A915
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Face Group
Associated Project(s): Photometric Limits on Computer Vision, Image Enhancement for Faces, Hallucinating Faces

Text Reference
Simon Baker and Takeo Kanade, "Super-Resolution: Reconstruction or Recognition?," IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, June, 2001.

BibTeX Reference
   author = "Simon Baker and Takeo Kanade",
   title = "Super-Resolution: Reconstruction or Recognition?",
   booktitle = "IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing",
   publisher = "IEEE",
   address = "Baltimore, Maryland",
   month = "June",
   year = "2001",