Title : 
Biorthogonal wavelet system for high-resolution image reconstruction
         
        
            Author : 
Shen, Lixin ; Sun, Qiyu
         
        
            Author_Institution : 
Dept. of Math., West Virginia Univ., Morgantown, WV, USA
         
        
        
        
        
            fDate : 
7/1/2004 12:00:00 AM
         
        
        
        
            Abstract : 
High-resolution images are often desired but made impossible because of hardware limitations. For the high-resolution model proposed by Bose and Boo (see Int. J. Imaging Syst. Technol., vol.9, p.294-304, 1998), 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.
         
        
            Keywords : 
image reconstruction; image resolution; wavelet transforms; biorthogonal wavelet system; high-resolution images; image reconstruction; iterative wavelet-based algorithm; numerical results; resolution ratio; Filters; Hardware; Image reconstruction; Image resolution; Iterative algorithms; Least squares methods; Multiresolution analysis; Signal processing algorithms; Sun; Wavelet analysis;
         
        
        
            Journal_Title : 
Signal Processing, IEEE Transactions on
         
        
        
        
        
            DOI : 
10.1109/TSP.2004.828939