Title : 
Improved H.264/AVC lossless intra compression using multiple partition prediction for 4×4 intra block
         
        
            Author : 
Lee, Sang Heon ; Ryu, Jewoong ; Cho, Nam Ik
         
        
            Author_Institution : 
Inst. of New Media & Commun., Seoul Nat. Univ., Seoul, South Korea
         
        
        
        
        
        
            Abstract : 
The sample by sample DPCM (SbS DPCM) is an important prediction technique for the H.264/AVC lossless intra compression. In this paper, we propose a new prediction method that is more efficient than the conventional SbS DPCM, thereby improving the overall compression performance. The proposed method prepares 5 partition patterns for each 4×4 block such as 4×4 (no partition), 4×2, 2×4, 2×2 and 1×1. The pixels in each partition is intra predicted by SbS DPCM and the best partition which produces minimum bit is selected as the partition pattern for the 4×4 block. Also, the number of available intra prediction directions is determined according to the partition pattern to avoid too much side-information transmission. The experimental results show that the proposed method gives 3.62 % point bit rate saving on average and 4.74 % point bit rate saving at maximum compared to the conventional SbS DPCM.
         
        
            Keywords : 
computer vision; data compression; video coding; H.264-AVC lossless intracompression; SbS DPCM; multiple partition prediction technique; partition pattern; side-information transmission; Bit rate; Conferences; Image coding; Mobile communication; Transform coding; Transforms; H.264/AVC; Lossless Intra Compression;
         
        
        
        
            Conference_Titel : 
Image Processing (ICIP), 2011 18th IEEE International Conference on
         
        
            Conference_Location : 
Brussels
         
        
        
            Print_ISBN : 
978-1-4577-1304-0
         
        
            Electronic_ISBN : 
1522-4880
         
        
        
            DOI : 
10.1109/ICIP.2011.6115870