DocumentCode
3405743
Title
Compressive oscillatory patterns sensing in natural images via iterative wave atom thresholding
Author
He, Peng
fYear
2010
fDate
24-28 Oct. 2010
Firstpage
763
Lastpage
766
Abstract
This paper focuses on the problem of oscillatory pattern reconstruction in natural images from the perspective of compressive sensing. An iterative wave atom thresholding method for the recovery of oscillatory signals is presented. This allows a better reconstruction of natural images from highly incomplete measurements. Numerical experiments on real scenes demonstrate that the method capture the structures of complex oscillatory patterns.
Keywords
image reconstruction; image representation; iterative methods; compressive oscillatory pattern sensing; compressive sensing; iterative wave atom thresholding; natural image; pattern reconstruction; Atomic measurements; Compressed sensing; Image reconstruction; Iterative methods; PSNR; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing (ICSP), 2010 IEEE 10th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-5897-4
Type
conf
DOI
10.1109/ICOSP.2010.5655915
Filename
5655915
Link To Document