Title:	AN ENLARGEMENT METHOD BASED ON UNDECIMATED WAVELET TRANSFORM AND ENHANCEMENT FUNCTION
Author(s):	Wen-Chien Yen, Ying-Wen Chang, Zhong-Xin Yu, Yi-In Lee
ISBN:	978-972-8939-48-9
Editors:	Yingcai Xiao
Year:	2011
Edition:	Single
Keywords:	Elargenent method, Undicimated wavelet transform, Shape function
Type:	Short Paper
First Page:	202
Last Page:	206
Language:	English
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Paper Abstract:	The image resolution reconstruction is a partial technology in many application including medical imaging, satellite imaging, and video applications. Due to the wavelet representation has characteristics of the efficient time-frequency localization and the multi-resolution analysis; the wavelet transforms are suitable for processing the image resolution enhancement. Therefore, this method focuses on wavelet-based image resolution enhancement and proposes a framework of image resolution enhancement. The wavelet-domain image resolution enhancement algorithm is based on the estimation of detail wavelet coefficients at high resolution scales. The method exploits shape function according to wavelet coefficient correlation in a local neighborhood and employs undecimated discrete wavelet transform to estimate the unknown detail coefficients. The simulation results objectivity show that the proposed method is considerably superior to conventional image interpolation techniques.
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