TY - JOUR
T1 - Separation of transparent layers using focus
AU - Schechner, Yoav Y.
AU - Kiryati, Nahum
AU - Basri, Ronen
N1 - Funding Information:
This work was conducted while Yoav Y. Schechner was at the Department of Electrical Engineering, Technion—Israel Institute of Technology, Haifa. We thank Joseph Shamir and Alex Bekker for their advice, support, and significant help, and for making the facilities of the Electrooptics Laboratory of the Electrical Engineering Department, Technion, available to us. We thank Bonnie Lorimer for the permission to use her photograph of Mt. Shuksan. This research was supported in part by the Eshkol Fellowship of the Israeli Ministry of Science, by the Ollendorff Center of the Department of Electrical Engineering, Technion, and by the Tel-Aviv University Research Fund. The vision group at the Weizmann Institute is supported in part by the Israeli Ministry of Science, Grant No. 8504. Ro-nen Basri is an incumbent of Arye Dissentshik Career Development Chair at the Weizmann Institute.
PY - 2000/8
Y1 - 2000/8
N2 - Consider situations where the depth at each point in the scene is multi-valued, due to the presence of a virtual image semi-reflected by a transparent surface. The semi-reflected image is linearly superimposed on the image of an object that is behind the transparent surface. A novel approach is proposed for the separation of the superimposed layers. Focusing on either of the layers yields initial separation, but crosstalk remains. The separation is enhanced by mutual blurring of the perturbing components in the images. However, this blurring requires the estimation of the defocus blur kernels. We thus propose a method for self calibration of the blur kernels, given the raw images. The kernels are sought to minimize the mutual information of the recovered layers. Autofocusing and depth estimation in the presence of semi-reflections are also considered. Experimental results are presented.
AB - Consider situations where the depth at each point in the scene is multi-valued, due to the presence of a virtual image semi-reflected by a transparent surface. The semi-reflected image is linearly superimposed on the image of an object that is behind the transparent surface. A novel approach is proposed for the separation of the superimposed layers. Focusing on either of the layers yields initial separation, but crosstalk remains. The separation is enhanced by mutual blurring of the perturbing components in the images. However, this blurring requires the estimation of the defocus blur kernels. We thus propose a method for self calibration of the blur kernels, given the raw images. The kernels are sought to minimize the mutual information of the recovered layers. Autofocusing and depth estimation in the presence of semi-reflections are also considered. Experimental results are presented.
UR - http://www.scopus.com/inward/record.url?scp=0034249462&partnerID=8YFLogxK
U2 - 10.1023/A:1008166017466
DO - 10.1023/A:1008166017466
M3 - ???researchoutput.researchoutputtypes.contributiontojournal.article???
AN - SCOPUS:0034249462
SN - 0920-5691
VL - 39
SP - 25
EP - 39
JO - International Journal of Computer Vision
JF - International Journal of Computer Vision
IS - 1
ER -