REFERENCES [1] J. Karhunen, L. Wang and R. PCA type approaches for source separation Vigario,” Nonlinear and independent component in proceedings of the IEEE international conference on analysis”, neural networks, vol. 2, pp 995-1000, November 1995 [2] Z. Wang, A. C. Bovik, H. R. Sheikh and quality assessment: from E. P Simoncelli, “Image error visibility to structural IEEE Transactions on Image processing, vol. 13, issue 4, similarity”, pp 600 612, April 2004. – [3]L. Bihan and principal component analysis of in N.Sangwine, “Quaternion color images”, proceedings of the IEEE international conference on Image processing, vol. 1, pp 809 812, – September 2003
REFERENCES [1] J. Karhunen, L. Wang and R. Vigario,” Nonlinear PCA type approaches for source separation and independent component analysis”, in proceedings of the IEEE international conference on neural networks, vol. 2, pp 995-1000, November 1995 [2] Z. Wang, A. C. Bovik, H. R. Sheikh and E. P Simoncelli, “Image quality assessment: from error visibility to structural similarity”, IEEE Transactions on Image processing, vol. 13, issue 4, pp 600 – 612, April 2004. [3]L. Bihan and N.Sangwine, “Quaternion principal component analysis of color images”, in proceedings of the IEEE international conference on Image processing, vol. 1, pp 809 – 812, September 2003
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