DocumentCode :
3498611
Title :
An Improved JPEG Compression Algorithm Based on Sloped-Facet Model of Image Segmentation
Author :
Wang, Chengyou ; Hou, Zhengxin ; He, Kai ; Yang, Aiping
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin
fYear :
2007
fDate :
21-25 Sept. 2007
Firstpage :
2893
Lastpage :
2896
Abstract :
This paper proposed an improved JPEG compression algorithm based on Haralick sloped-facet model. Different areas after segmentation were taken into account in this algorithm and different areas are compressed in different proportion. The experiment results show that the quality of reconstructed images is better than the traditional JPEG compression algorithm at the same bit rate about 0.3 dB.
Keywords :
data compression; image coding; image reconstruction; image segmentation; set theory; Haralick sloped-facet model; JPEG compression; image quality; image reconstruction; image segmentation; Bit rate; Compression algorithms; Digital images; Discrete cosine transforms; Helium; Image coding; Image reconstruction; Image segmentation; PSNR; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-1311-9
Type :
conf
DOI :
10.1109/WICOM.2007.718
Filename :
4340493
Link To Document :
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