Title : 
Direction-adaptive partitioned block transform for image coding
         
        
            Author : 
Chang, Chuo-Ling ; Girod, Bernd
         
        
            Author_Institution : 
Dept. of Electr. Eng., Stanford Univ., Stanford, CA
         
        
        
        
        
        
            Abstract : 
We propose a direction-adaptive block transform that exploits the directionality in images to improve the compression performance. It can be viewed as a generalization of variable block-size transforms with the inclusion of non-rectangular partitions and directional transforms. As a block transform, it can be directly combined with block-wise intra and inter prediction in video coding standards. Experimental results show that the proposed transform outperforms the variable block-size 2-D DCT by up to 3 dB. It also outperforms a previously proposed direction-adaptive DCT by up to 2 dB. When combined with intra prediction, the proposed transform further provides a gain of 0.5 to 2 dB upon intra prediction with the 2-D DCT.
         
        
            Keywords : 
data compression; discrete cosine transforms; image coding; block-wise inter prediction; block-wise intra prediction; direction-adaptive partitioned block transform; image coding; image compression; variable block-size 2D DCT; variable block-size transforms; video coding standard; Decoding; Discrete cosine transforms; Discrete wavelet transforms; Extrapolation; Image coding; Image reconstruction; Information systems; Laboratories; Video coding; Wavelet transforms; Image coding; block transform; direction adaptation; intra prediction;
         
        
        
        
            Conference_Titel : 
Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on
         
        
            Conference_Location : 
San Diego, CA
         
        
        
            Print_ISBN : 
978-1-4244-1765-0
         
        
            Electronic_ISBN : 
1522-4880
         
        
        
            DOI : 
10.1109/ICIP.2008.4711712