期刊论文

Chen, Zengzhao;Liu, Hai

英文

Infrared Physics & Technology

1350-4495

2018

93

213-222

10.1016/j.infrared.2018.07.035

The authors thank the handling editor and anonymous reviewers for their helpful comments and suggestions. This research was partially funded by the National Natural Science Foundation of China under Grant (No. 61505064), Hong Kong Scholars Programs under Grant (No. XJ2016063), Natural Science Foundation of Hubei Province under Grant (No. 2016CFB497), National Key Research and Development Program under Grant (No. 2017YFB1401301, 2017YFB1401303, 2017YFB1401305), Specific Funding for Education Science Research by Self-determined Research Funds of CCNU (CCNU18ZDPY10, CCNU18QN008), Cultivating Excellent Doctoral Dissertations Program of CCNU (2017YBZZ007). The authors gratefully acknowledge the financial support from China Scholarship Council (CSC), and Prof. Chen for offering the source codes.

本校为第一且通讯机构

Fourier transform infrared (FTIR) spectral imaging is a valuable tool for rapid identification of the real/fake human face in a single spectral image. However, it often suffers from the problems of band overlap and random noise. In this work, we have developed a spectral resolution enhancement algorithm via the contourlet transforms regularization for FTIR spectral imaging. First, we apply the contourlet transform to the observed FTIR spectrum and the ground-truth one, and compare their distributions of the contourlet coefficients. It shows tha...