DocumentCode :
2459414
Title :
An Enlargement Method Using Undecimated Wavelet Transform and Shape Function
Author :
Yen, Wen-Chien ; Chen, Yen-Yu ; Chang, Ying-Wen
Author_Institution :
Dept. of Inf. Manage., Chung Chou Inst. of Technol., Changhua, Taiwan
fYear :
2009
fDate :
12-14 Sept. 2009
Firstpage :
1258
Lastpage :
1261
Abstract :
The enlargement method 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 enlargement method. This proposed method 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.
Keywords :
discrete wavelet transforms; image enhancement; image resolution; interpolation; enlargement method; image interpolation techniques; image resolution enhancement; multiresolution analysis; shape function; time-frequency localization; undecimated discrete wavelet transform; Biomedical imaging; Discrete wavelet transforms; Image analysis; Image resolution; Satellites; Shape; Time frequency analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms; Enlargement Method; Image processing; Undecimated Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4244-4717-6
Electronic_ISBN :
978-0-7695-3762-7
Type :
conf
DOI :
10.1109/IIH-MSP.2009.175
Filename :
5337224
Link To Document :
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