Image Interpolation Based on Wavelet Transform

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Abstract:

Image interpolation is widely studied and used in digital image processing. In this paper, a method of image magnification according to the properties of fractal interpolation and wavelet transformation are presented. We focus the development of edge forming methods to be applied as a post process of standard image zooming methods for grayscale images, with the hope of retaining edges. Experiments make sure it valid.

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853-855

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January 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Wang Q , Ward R, Zou J C. Contrast enhancement for enlarged images based on edge sharpening. Proceeding of IEEE International Confe-rence on Image rocessing. Genova: IEEE, 2005: 762-765.

DOI: 10.1109/icip.2005.1530167

Google Scholar

[2] ZHAO Hai-feng ZHOU Yong-fei, HUANG Zi-qiang, Comparison of Image Amplifying Method, Modern electronic technology. 2010. issue 24.

Google Scholar

[3] SHEZAFN, ABRAMOV-SEGALH, SUTSKOVERI, etal. Adaivelowcomplexityalgorithmforimage zooming at fractional scaling ratio . The 21st IEEE Convention of the Electrical and Electronic Engineers. Israel: IEEE, 2000: 253-256.

DOI: 10.1109/eeei.2000.924383

Google Scholar

[4] Fu Xiang, Guo Bao-long, Review the image interpolation technology. Computer engineering and design. 2009, issue 30.

Google Scholar

[5] Zhu Ning, Wu Jing, Wang Zhong-qian. The partial differential equation method for image zooming. Journal of computer aided design and computer graphics.

Google Scholar