You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
11 September 2013Image reconstruction by multiscale compressed sensing based on a new transform
This paper proposes a multiscale deployment of Compressed Sensing(CS) in a new transform domain for image reconstruction. The new transform, directly built in the discrete framework, combines the traditional discrete wavelet transform with shearing filter banks defined in the Pseudo-Polar frequency domain to perform multiresolution and multidirectional analysis of images. Then a specific decimation way is applied to further get rid of extra redundancy with no aliasing. The proposed transform named wavelet-based discrete shearlet transform (WBDST) which can be seen as a extension of the original discrete shearlet transform is also optimally efficient in representing images containing edges while offering a dramatically low redundant property. Furthermore, we deploy a multiscale CS scheme in WBDST domain for image reconstruction, different scales are segregated and CS is applied separately to each one. Numerical experiments demonstrate that this deployment gives much better quality reconstructions than those of the WBDST based best N-term approximation as well as the curvelets based multiscale CS scheme.
Chun-hai Hu andShi-liang Guo
"Image reconstruction by multiscale compressed sensing based on a new transform", Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 890740 (11 September 2013); https://doi.org/10.1117/12.2034497
The alert did not successfully save. Please try again later.
Chun-hai Hu, Shi-liang Guo, "Image reconstruction by multiscale compressed sensing based on a new transform," Proc. SPIE 8907, International Symposium on Photoelectronic Detection and Imaging 2013: Infrared Imaging and Applications, 890740 (11 September 2013); https://doi.org/10.1117/12.2034497