Blind recovery of transparent and semireflected scenes

Yoav Y. Schechner*, Nahum Kiryati, Joseph Shamir

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

We present a method to recover scenes deteriorated by superposition of transparent and semi-reflected contributions, as appear in reflections off windows. Separating the superimposed contributions from the images in which either contribution is in focus is based on mutual blurring and subtraction of the perturbing components. This procedure requires the defocus blur kernels to be known. The use of uncalibrated kernels had previously led to contaminated results. We propose a method for self calibration of the blur kernels from the raw images themselves. The kernels are sought to minimize the mutual information of the recovered layers. This relaxes the need for prior knowledge on the optical transfer function. Experimental results are presented.

Original languageEnglish
Pages (from-to)38-43
Number of pages6
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume1
StatePublished - 2000
Externally publishedYes
EventIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000 - Hilton Head Island, SC, USA
Duration: 13 Jun 200015 Jun 2000

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