Title
Biorthogonal Wavelet System For High-Resolution Image Reconstruction
Abstract
High-resolution images are often desired but made impossible because of hardware limitations. For the high-resolution model proposed by Bose and Boo, the iterative wavelet-based algorithm has been shown to perform better than the traditional least square method when the resolution ratio M is two and four. In this paper, we discuss the minimally supported biorthogonal wavelet system that comes from the mathematical model by Bose and Boo and propose a wavelet-based algorithm for arbitrary resolution ratio M ≥ 2. The numerical results indicate that the algorithm based on our biorthogonal wavelet system performs better in high-resolution image reconstruction than the wavelet-based algorithm in the literature, as well as the common-used least square method. © 2004 IEEE.
Publication Date
7-1-2004
Publication Title
IEEE Transactions on Signal Processing
Volume
52
Issue
7
Number of Pages
1997-2011
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/TSP.2004.828939
Copyright Status
Unknown
Socpus ID
3142687640 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/3142687640
STARS Citation
Shen, Lixin and Sun, Qiyu, "Biorthogonal Wavelet System For High-Resolution Image Reconstruction" (2004). Scopus Export 2000s. 5144.
https://stars.library.ucf.edu/scopus2000/5144