Title : 
Image Super-Resolution Via Analysis Sparse Prior
         
        
            Author : 
Qiang Ning ; Kan Chen ; Li Yi ; Chuchu Fan ; Yao Lu ; Jiangtao Wen
         
        
            Author_Institution : 
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
         
        
        
        
        
        
        
        
            Abstract : 
In this letter, we present a new algorithm for a single image super-resolution using the analysis sparse prior in the lαβ color space. Experimental results show that our algorithm outperforms other existing state-of-the-art methods. In addition, due to the high scalability of our algorithm, key modules of the proposed algorithm can be integrated with other super resolution algorithms.
         
        
            Keywords : 
image colour analysis; image reconstruction; image resolution; analysis sparse prior; lαβ color space; single image super-resolution; Algorithm design and analysis; Analytical models; Dictionaries; Electronic mail; Image color analysis; Image reconstruction; Image resolution; Analysis sparsity; image super-resolution; neighbor compatibility; variance prediction;
         
        
        
            Journal_Title : 
Signal Processing Letters, IEEE
         
        
        
        
        
            DOI : 
10.1109/LSP.2013.2242198