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Abstract
A new approach for enlarging digital images is proposed. In existing approaches, the assumed reducing operators must be suitable ones for the methods, which means that desirable results are not obtained in other situations. Therefore, an enlargement scheme that can appropriately take reducing operators into account is needed. In this paper, we propose a new enlargement method that can be used for any reducing operators based on the framework of image restoration problems and estimation of the component that belongs to the kernel space of the reducing operator by using statistical properties of natural images.
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References
Bibliographical reference
Akira Tanaka, Akira Tanaka and Masaaki Miyakoshi, « Digital Image Enlargement Based on Kernel Component Estimation », CASYS, 15 | 2004, 97-108.
Electronic reference
Akira Tanaka, Akira Tanaka and Masaaki Miyakoshi, « Digital Image Enlargement Based on Kernel Component Estimation », CASYS [Online], 15 | 2004, Online since 07 October 2024, connection on 27 December 2024. URL : http://popups.uliege.be/3041-539x/index.php?id=1948
Authors
Akira Tanaka
Division of Systems and Information Engineering, Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
Akira Tanaka
Division of Systems and Information Engineering, Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
Akira Tanaka
Division of Systems and Information Engineering, Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
Akira Tanaka
Division of Systems and Information Engineering, Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, 060-8628, Japan
Masaaki Miyakoshi
Division of Systems and Information Engineering, Graduate School of Engineering, Hokkaido University, Kita 13, Nishi 8, Kita-ku, Sapporo, 060-8628, Japan