Please use this identifier to cite or link to this item:
|Title:||An efficient fractal-based algorithm for image magnification|
|Source:||ISIMP 2004 : proceedings of 2004 International Symposium on Intelligent Multimedia, Video and Speech Processing : October 20-22, 2004, Hong Kong, p. 571-574 How to cite?|
|Abstract:||An efficient image magnification algorithm based on the Iterated Function System (IFS) is proposed in this paper. This IFS-based image magnification method employs the self-similarity property instead of the conventional interpolation approach. This self-similarity makes it possible to generate images of higher resolution. Our proposed algorithm can maintain not only the high frequency information that preserves the edges, but also effectively remove blocky artifacts from a magnified image. To further improve the quality of the high-resolution images, the error image or residual errors are considered. In addition, our algorithm can combine with other magnification algorithms. Experimental results show that our proposed algorithm can increase the PSNR by 2.60dB, 2.30dB and 0.83dB on average when compared to the traditional fractal-based image magnification algorithm, the bicubic spline interpolation method and the recently proposed fractal-based image magnification algorithm (IEUF), respectively. If residual errors are considered, the PSNR of our algorithm can be further increased by about 0.22dB. When combining our algorithm with IEUF, the PSNR can further improve by 0.4dB, on average.|
|Rights:||© 2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
|Appears in Collections:||Conference Paper|
Show full item record
Files in This Item:
|Efficient fractal-based algorithm_04.pdf||230.13 kB||Adobe PDF||View/Open|
Citations as of Apr 10, 2016
WEB OF SCIENCETM
Citations as of Jan 16, 2017
Checked on Jan 15, 2017
Checked on Jan 15, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.