Title :
Image compression based on PDEs
Author :
Zhao Cui-fang ; Du Meng
Author_Institution :
Dept. of Electron. Eng., Zhejiang Normal Univ., Jinhua, China
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);
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
DOI :
10.1109/ICCSNT.2011.6182311