Physics-Based Intrinsic Image Estimation from a Single Image
Date Issued
2009
Date
2009
Author(s)
Chen, Hong-Ming
Abstract
This paper concerns about the intrinsic image recovery problem. Based on physics assumptions, we present a method to discover intrinsic images from a single image. We also propose a new least-square minimization approach: the Joint Robust Statistics, to solve the prescribed problem. It can transfer a specific kind of nonlinear least-square minimization problem to a linear least-square one. The analysis of the relationships between the proposed minimization approach and the other popular methods, such as anisotropic diffusion, robust statistics, and bilateral filter, is also provided in this paper. Moreover, the resultant intrinsic images are especially friendly for image editing. Natural images are used to demonstrate the effectiveness of our work.
Subjects
Intrinsic image
diffusion
image smoothing
bilateral filter
robust statistics
least-square minimization
Type
thesis
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