DocumentCode
3276636
Title
Wavelet Image Interpolation Using Approximate Modeling of Exponential Decay
Author
Kim, Sang Soo ; Eom, IL Kyu ; Kim, Yoo Shin
Author_Institution
Dept. of Electron. Eng., Pusan Nat. Univ.
fYear
2006
fDate
3-6 Oct. 2006
Firstpage
360
Lastpage
363
Abstract
Image interpolation in the wavelet domain is the estimation problem of the highest frequency subbands. The exponential function can approximate the decay of wavelet coefficients across scales. If we can determine a proper decaying model, the magnitudes of detail coefficients will be predictable. In this paper, we exploit a simple exponential model with meta-parameters which reflects the self-similarity of natural images. The experimental results show that the proposed method outperforms the previous wavelet-domain interpolation methods as well as the conventional bicubic method
Keywords
approximation theory; image resolution; wavelet transforms; approximate modeling; exponential decay; wavelet image interpolation; Frequency estimation; Image edge detection; Interpolation; Low pass filters; Nonlinear filters; Predictive models; Spatial resolution; Wavelet coefficients; Wavelet domain; Wavelet transforms; Liptschitz regularity; image interpolation; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Signal Processing, 2006 IEEE 8th Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-9751-7
Electronic_ISBN
0-7803-9752-5
Type
conf
DOI
10.1109/MMSP.2006.285330
Filename
4064580
Link To Document