DocumentCode :
2032230
Title :
Enable Efficient Compound Image Compression in H.264/AVC Intra Coding
Author :
Ding, Wenpeng ; Lu, Yan ; Wu, Feng
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei
Volume :
2
fYear :
2007
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
This paper presents an efficient compound image compression approach based on H.264/AVC intra coding. The text blocks are distinguished from the picture blocks and compressed with a new coding mode. In particular, the text blocks are represented by base colors and index map in spatial domain. A color quantization algorithm optimized for compression is designed to generate this representation. As for the entropy coding of text blocks, a structure-aware context-based arithmetic coder is developed. The mode selection algorithm based on rate distortion optimization is used to select the text blocks along with H.264/AVC intra modes, which can adapt to the targeted bit-rate. Experimental results show that the proposed scheme can achieve 2.8dB gain on average for compound images compared with H.264/AVC intra coding.
Keywords :
data compression; entropy codes; image coding; image colour analysis; H.264/AVC intra coding; color quantization algorithm; entropy coding; image compression; mode selection algorithm; rate distortion optimization; structure-aware context-based arithmetic coder; text block; Arithmetic; Asia; Automatic voltage control; Computer science; Entropy coding; Image coding; Image segmentation; Internet; Quantization; Transform coding; Compound image compression; color quantization; entropy coding; mode decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
ISSN :
1522-4880
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
Type :
conf
DOI :
10.1109/ICIP.2007.4379161
Filename :
4379161
Link To Document :
بازگشت