Paper Info
Title
Wavelet Image Interpolation Using Approximate Modeling of Exponential Decay
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
Year
DOI
Venue
2006
10.1109/MMSP.2006.285330
MMSP
Keywords
Field
DocType
image interpolation,approximation theory,wavelet transforms,image resolution,wavelet image interpolation,liptschitz regularity,wavelet,exponential decay,approximate modeling,exponential function
Nearest-neighbor interpolation,Mathematical analysis,Interpolation,Artificial intelligence,Wavelet transform,Pattern recognition,Multivariate interpolation,Bicubic interpolation,Algorithm,Stairstep interpolation,Image scaling,Mathematics,Bilinear interpolation
Conference
ISBN
Citations 
PageRank 
0-7803-9752-5
0
0.34
References 
Authors
7
3
Name
Order
Citations
PageRank
Sang-Soo Kim1226.25
Il Kyu Eom26812.58
Yoo Shin Kim3427.33