A blind deconvolution algorithm with modified Tikhonov regularization is introduced.To improve the spectral resolution,spectral structure information is incorporated into regularization by using the adaptive term to d...A blind deconvolution algorithm with modified Tikhonov regularization is introduced.To improve the spectral resolution,spectral structure information is incorporated into regularization by using the adaptive term to distinguish the spectral structure from other regions.The proposed algorithm can effectively suppress Poisson noise as well as preserve the spectral structure and detailed information.Moreover,it becomes more robust with the change of the regularization parameter.Comparative results on simulated and real degraded Raman spectra are reported.The recovered Raman spectra can easily extract the spectral features and interpret the unknown chemical mixture.展开更多
基金the Project of the Program for New Century Excellent Talents in University(NCET-11-0654)the National Key Technology Research and Development Program(2013BAH72B01)+3 种基金the National Key Technology Research and Development Program(2013BAH18F02)the Scientific R&D Project of State Education Ministry and China Mobile(MCM20121061)the National Social Science Fund of China(14BGL131)and the New PhD Researcher Award from the Chinese Ministry of Education.
文摘A blind deconvolution algorithm with modified Tikhonov regularization is introduced.To improve the spectral resolution,spectral structure information is incorporated into regularization by using the adaptive term to distinguish the spectral structure from other regions.The proposed algorithm can effectively suppress Poisson noise as well as preserve the spectral structure and detailed information.Moreover,it becomes more robust with the change of the regularization parameter.Comparative results on simulated and real degraded Raman spectra are reported.The recovered Raman spectra can easily extract the spectral features and interpret the unknown chemical mixture.
