Terahertz two-pixel imaging based on complementary compressive sensing<xref rid="cpb_27_11_114204fn1" ref-type="fn">*</xref> <fn id="cpb_27_11_114204fn1"> <label>*</label> <p>Project supported by the National Basic Research Program of China (Grant Nos. 2015CB755403 and 2014CB339802), the National Key Research and Development Program of China (Grant No. 2016YFC0101001), the National Natural Science Foundation of China (Grant Nos. 61775160, 61771332, and 61471257), China Postdoctoral Science Foundation (Grant No. 2016M602954), Postdoctoral Science Foundation of Chongqing, China (Grant No. Xm2016021), and the Joint Incubation Project of Southwest Hospital, China (Grant Nos. SWH2016LHJC04 and SWH2016LHJC01).</p> </fn>

Terahertz two-pixel imaging based on complementary compressive sensing* *

Project supported by the National Basic Research Program of China (Grant Nos. 2015CB755403 and 2014CB339802), the National Key Research and Development Program of China (Grant No. 2016YFC0101001), the National Natural Science Foundation of China (Grant Nos. 61775160, 61771332, and 61471257), China Postdoctoral Science Foundation (Grant No. 2016M602954), Postdoctoral Science Foundation of Chongqing, China (Grant No. Xm2016021), and the Joint Incubation Project of Southwest Hospital, China (Grant Nos. SWH2016LHJC04 and SWH2016LHJC01).

Wang Yuye^{1, 2, 3}, Ren Yuchen^{1, 2}, Chen Linyu^{1, 2}, Song Ci⁴, Li Changzhao^{1, 2}, Zhang Chao^{1, 2}, Xu Degang^{1, 2, †}, Yao Jianquan^{1, 2}

Simulation results of CS reconstruction using measurement matrix with different values: (a) original image, (b) [1, 0] matrix, (c) [0, 1] matrix, (d) [1, −1] matrix.