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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2016.8
- 수록면
- 515 - 523 (9page)
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초록· 키워드
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Spectral reflectance is sparse in space, and while the traditional spectral-reconstruction algorithm doesnot make full use of this characteristic sparseness, the compressive sensing algorithm can make full useof it. In this paper, on the basis of analyzing compressive sensing based on the orthogonal matching pursuitalgorithm, a new algorithm based on the Dice matching criterion is proposed. The Dice similarity coefficientis introduced, to calculate the correlation coefficient of the atoms and the residual error, and is used toselect the atoms from a library. The accuracy of Spectral reconstruction based on the pseudo-inversemethod, Wiener estimation method, OMP algorithm, and DOMP algorithm is compared by simulation onthe MATLAB platform and experimental testing. The result is that spectral-reconstruction accuracy basedon the DOMP algorithm is higher than for the other three methods. The root-mean-square error and colordifference decreases with an increasing number of principal components. The reconstruction error decreasesas the number of iterations increases. Spectral reconstruction based on the DOMP algorithm can improvethe accuracy of color-information replication effectively, and high-accuracy color-information reproductioncan be realized.
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참고문헌 (17)
참고문헌 신청
B. W. Jiang / 2012 / Method of multi-spectral images reducedimensions based on PCA / Inform. Technol 8:98~101
D. Y. Tzeng / 2005 / A review of principal component analysis and its applications to color technology / Color Res. Appl 30:84~98
C. James / 2003 / Temporally constrained ICA: an application to artifact rejection in electromagnetic brain signal analysis / IEEE Trans. Biomed. Eng 50:1108~1116
K. Takase / 2005 / Fast estimation algorithm for calculation of reflectance map based on wiener estimation technique / Opt. Rev 12:20~24
H. L. Shen / 2010 / Estimating reflectance from multispectral camera responses based on partial leastsquares regression / Electron. Imaging 19:205~212
D. Y. Tzeng / 2005 / A review of principal component analysis and its applications to color technology / Color Res. Appl 30:84~98
C. James / 2003 / Temporally constrained ICA: an application to artifact rejection in electromagnetic brain signal analysis / IEEE Trans. Biomed. Eng 50:1108~1116
K. Takase / 2005 / Fast estimation algorithm for calculation of reflectance map based on wiener estimation technique / Opt. Rev 12:20~24
H. L. Shen / 2010 / Estimating reflectance from multispectral camera responses based on partial leastsquares regression / Electron. Imaging 19:205~212
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