caa a22 4500 606206337 CHVBK 20210128101011.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00034-014-9913-3 doi (NATIONALLICENCE)springer-10.1007/s00034-014-9913-3 A Fast Recovery Method of 2D Geometric Compressed Sensing Signal [Elektronische Daten] [Zhuo-Ming Du, Fei-Yue Ye, Hang Shi, Guang-Ping Zhu] This paper presents a compression method based on compressed sensing for 2D contour models. And low rank random matrixes are used to sample 2D contour models, since the models can be sparsely represented under their Laplace operators. In the recovery process, a new function is designed as the optimal objective function to replace signal's 1-norm, while a new search direction is constructed to find the solution, and to ensure that the solution speed is equal to the speed of the linear optimization. Finally, the experimental results show that the above method, boasting advanced compression ratio and good recovery effect, is well suited for processing large data. Springer Science+Business Media New York, 2014 Compressed sensing nationallicence Geometric signal nationallicence Random sampling nationallicence Sparse representation nationallicence Du Zhuo-Ming Computer Engineering School, Jiangsu University of Technology, 213001, Changzhou, China aut Ye Fei-Yue Computer Engineering School, Jiangsu University of Technology, 213001, Changzhou, China aut Shi Hang Computer Engineering School, Jiangsu University of Technology, 213001, Changzhou, China aut Zhu Guang-Ping Computer Engineering School, Jiangsu University of Technology, 213001, Changzhou, China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/5(2015-05-01), 1711-1724 0278-081X 34:5<1711 2015 34 34 https://doi.org/10.1007/s00034-014-9913-3 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-014-9913-3 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Du Zhuo-Ming Computer Engineering School, Jiangsu University of Technology, 213001, Changzhou, China aut NATIONALLICENCE 700 1- Ye Fei-Yue Computer Engineering School, Jiangsu University of Technology, 213001, Changzhou, China aut NATIONALLICENCE 700 1- Shi Hang Computer Engineering School, Jiangsu University of Technology, 213001, Changzhou, China aut NATIONALLICENCE 700 1- Zhu Guang-Ping Computer Engineering School, Jiangsu University of Technology, 213001, Changzhou, China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/5(2015-05-01), 1711-1724 0278-081X 34:5<1711 2015 34 34