Title : 
Universal compression lossless code statistically built
         
        
            Author : 
N. Garcia;C. Munoz;A. Sanz
         
        
            Author_Institution : 
IBM Madrid Scientific Center, Madrid, Spain
         
        
        
        
            fDate : 
6/6/1905 12:00:00 AM
         
        
        
        
            Abstract : 
A universal compression statistical code based on a hierarchical transform of an image is presented. The properties of the transform that make it valuable for lossless image compression are studied. Based on them, a unique Huffman code, valid for every hierarchical transform, is constructed. Performance of the proposed coding scheme has been tested on a complete collection of images including small objects, faces, groups, remote sensing, ... obtained in different conditions. Results show that, on the average, a nearly 2:1 lossless compression is achieved, still keeping low the necessary computing requirements of the approach.
         
        
            Keywords : 
"Image coding","Quantization","Fourier transforms","Karhunen-Loeve transforms","Image communication","Algorithm design and analysis","Testing","Remote sensing","Image retrieval","Predictive coding"
         
        
        
            Conference_Titel : 
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP ´84.
         
        
        
            DOI : 
10.1109/ICASSP.1984.1172688