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Advances and challenges in super‐resolution
Author(s) -
Farsiu Sina,
Robinson Dirk,
Elad Michael,
Milanfar Peyman
Publication year - 2004
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.20007
Subject(s) - computer science , robustness (evolution) , superresolution , resolution (logic) , variety (cybernetics) , high resolution , set (abstract data type) , low resolution , algorithm , artificial intelligence , data mining , image (mathematics) , remote sensing , geology , biochemistry , chemistry , gene , programming language
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. © 2004 Wiley Periodicals, Inc. Int J Imaging Syst Technol 14, 47–57, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/ima.20007