DocumentCode
1802291
Title
Image compression based on PDEs
Author
Zhao Cui-fang ; Du Meng
Author_Institution
Dept. of Electron. Eng., Zhejiang Normal Univ., Jinhua, China
Volume
3
fYear
2011
fDate
24-26 Dec. 2011
Firstpage
1768
Lastpage
1771
Abstract
A PDEs-based image compression method is presented. On the encoder, a PDE model is used to reduce spatial redundancy and extract the edges of the image. Then only the edges are sent to the receiver rather than the entire image. The decompression utilizes the PDE-based interpolation by taking the edge map as the interpolation mask. Since the human visual system is highly sensitive to edge, the method can produce intelligible images at high compression ratios. Experiment results show that the proposed method can preserve edges perfectly and has better visual results than JPEG2000.
Keywords
data compression; edge detection; image coding; interpolation; partial differential equations; JPEG2000; PDE-based interpolation; edge extraction; encoder; image compression; Gold; Image coding; Image edge detection; Image reconstruction; PSNR; Transform coding; Edge detection; Image compression; Image interpolation; Partial Differential Equations (PDEs);
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location
Harbin
Print_ISBN
978-1-4577-1586-0
Type
conf
DOI
10.1109/ICCSNT.2011.6182311
Filename
6182311
Link To Document