外文题目: Study of Spectral Reflectance Reconstruction Based on an Algorithm for Improved Orthogonal Matching Pursuit
作者: Zhang Leihong; Liang Dong; Zhang Dawei; Gao Xiumin; Ma Xiuhua
刊名: J. Opt. Soc. Korea.
年: 2016 卷: 20 期: 4 页： 515--523
英文关键词:
Compressive sensing; Orthogonal matching pursuit; Dice coefficient; Principal component analysis; Spectral reconstruction
SIGNAL RECOVERY; TECHNOLOGY
英文摘要:
Spectral reflectance is sparse in space, and while the traditional spectral-reconstruction algorithm does not make full use of this characteristic sparseness, the compressive sensing algorithm can make full use of it. In this paper, on the basis of analyzing compressive sensing based on the orthogonal matching pursuit algorithm, a new algorithm based on the Dice matching criterion is proposed. The Dice similarity coefficient is introduced, to calculate the correlation coefficient of the atoms and the residual error, and is used to select the atoms from a library. The accuracy of Spectral reconstruction based on the pseudo-inverse method, Wiener estimation method, OMP algorithm, and DOMP algorithm is compared by simulation on the MATLAB platform and experimental testing. The result is that spectral-reconstruction accuracy based on the DOMP algorithm is higher than for the other three methods. The root-mean-square error and color difference decreases with an increasing number of principal components. The reconstruction error decreases as the number of iterations increases. Spectral reconstruction based on the DOMP algorithm can improve the accuracy of color-information replication effectively, and high-accuracy color-information reproduction can be realized.


文献类型: 期刊论文
正文语种: English
收录类别: SCIEI
DOI: 10.3807/JOSK.2016.20.4.515


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