Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer.Spectral deconvolution is an effective restoration method to solve this problem.Based on the theory o...Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer.Spectral deconvolution is an effective restoration method to solve this problem.Based on the theory of the maximum posteriori estimation,this paper transforms the spectral deconvolution problem into a multi-parameter optimization problem,and a novel spectral deconvolution method is proposed on the basis of Levenberg-Marquardt algorithm.Furthermore,a spectral adaptive operator is added to the method,which improves the effect of the regularization term.The proposed methods,Richardson-Lucy(R-L)method and Huber-Markov spectroscopic semi-blind deconvolution(HMSBD)method,are employed to deconvolute the white light-emitting diode(LED)spectra with two different color temperatures,respectively.The correction errors,root mean square errors,noise suppression ability,and the computation speed of above methods are compared.The experimental results prove the superiority of the proposed algorithm.展开更多
基金This work is supported by the National Natural Science Foundation of China(NSFC)(Grant No.11504383)the National Natural Science Foundation of China and Chinese Academy of Science(Grant No.U131111).
文摘Spectral distortion often occurs in spectral data due to the influence of the bandpass function of the spectrometer.Spectral deconvolution is an effective restoration method to solve this problem.Based on the theory of the maximum posteriori estimation,this paper transforms the spectral deconvolution problem into a multi-parameter optimization problem,and a novel spectral deconvolution method is proposed on the basis of Levenberg-Marquardt algorithm.Furthermore,a spectral adaptive operator is added to the method,which improves the effect of the regularization term.The proposed methods,Richardson-Lucy(R-L)method and Huber-Markov spectroscopic semi-blind deconvolution(HMSBD)method,are employed to deconvolute the white light-emitting diode(LED)spectra with two different color temperatures,respectively.The correction errors,root mean square errors,noise suppression ability,and the computation speed of above methods are compared.The experimental results prove the superiority of the proposed algorithm.
