Advances and Challenges in Super-Resolution
Abstract
Super-Resolution reconstruction produces one or a set of high-resolution images from a sequence of low-resolution frames. This article reviews a variety of Super-Resolution methods proposed in the last 20 years, and provides some insight into, and a summary of, our recent contributions to the general Super-Resolution problem. In the process, a detailed study of several very important aspects of Super-Resolution, often ignored in the literature, is presented. Specifically, we discuss robustness, treatment of color, and dynamic operation modes. Novel methods for addressing these issues are accompanied by experimental results on simulated and real data. Finally, some future challenges in Super-Resolution are outlined and discussed.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 15, 2004
- Accession Number
- ADA462048
Entities
People
- Drik Robinson
- Michael Elad
- Peyman Milanfar
- Sina Farsiu
Organizations
- University of California, Santa Cruz