Blind Recovery of Transparent and Semireflected Scenes

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.

• Type: Conference
• Year: 2000
• Where: CVPR
• Authors: Yoav Y. Schechner, Joseph Shamir, Nahum Kiryati
• Keywords: Blur Kernels, Computer Vision, CVPR 2000, Defocus Blur Kernels, Uncalibrated Kernels