Block-Based Compressed Sensing for Neutron Radiation Image Using WDFB. (2nd April 2015)

• Record Type: Journal Article
• Authors: Jin, Wei; Liu, Zhen; Li, Gang
• Other Names: Norgia Michele Academic Editor.
• Is Part Of: Advances in optoelectronics. Volume 2015(2015)
• Publication Date: 2015-04-02
• Subjects: Optoelectronics -- Periodicals; Optoélectronique; Optoelectronics; Periodicals; 621.381045
• DOI: 10.1155/2015/496863
• Languages: English
• ISSNs: 1687-563X

Abstract

Abstract : An ideal compression method for neutron radiation image should have high compression ratio while keeping more details of the original image. Compressed sensing (CS), which can break through the restrictions of sampling theorem, is likely to offer an efficient compression scheme for the neutron radiation image. Combining wavelet transform with directional filter banks, a novel nonredundant multiscale geometry analysis transform named Wavelet Directional Filter Banks (WDFB) is constructed and applied to represent neutron radiation image sparsely. Then, the block-based CS technique is introduced and a high performance CS scheme for neutron radiation image is proposed. By performing two-step iterative shrinkage algorithm the problem ofL 1 norm minimization is solved to reconstruct neutron radiation image from random measurements. The experiment results demonstrate that the scheme not only improves the quality of reconstructed image obviously but also retains more details of original image.