Compressive Oscillatory Patterns Sensing in Natural Images via Iterative Wave Atom Thresholding
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.
Peng He
国际会议
2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)
北京
英文
763-766
2010-08-24(万方平台首次上网日期,不代表论文的发表时间)