Acta Optica Sinica, Volume. 26, Issue 9, 1340(2006)
MultiCriterion Reconstruction Method for Optical Tomography
The reconstruction of optical tomography from measurement data is an illposed problem. For such an illposed problem, a multicriterion strategy is proposed, in which three criteria of squared error function, image entropy and local smoothness function are used for the reconstruction. The multicriterion reconstruction problem is transformed to a single criterion problem by using the vector optimization method. A dynamic weight coefficient solution is proposed to determine the weight coefficient of objective function. For the realization of optical tomography reconstruction, a gradient tree based algorithm is proposed for the gradient computation of the objective function with respect to optical parameters. Different results from the multicriterion reconstruction and single criterion reconstruction based on the squared error function are presented and compared. Experimental results show that this overcomes the shortcoming of conventional single creterion reconstruction only depending on the single objective and is valid for optical tomography reconstruction and the image quality is significantly improved.
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[in Chinese], [in Chinese], [in Chinese], [in Chinese]. MultiCriterion Reconstruction Method for Optical Tomography[J]. Acta Optica Sinica, 2006, 26(9): 1340