Shadow Removal Using Intensity Surfaces and Texture Anchor Points

Removal of shadows from a single image is a challenging problem. Producing a high-quality shadow-free image which is indistinguishable from a reproduction of a true shadow-free scene is even more difficult. Shadows in images are typically affected by several phenomena in the scene, including physica...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2011-06, Vol.33 (6), p.1202-1216
Main Authors: Arbel, E, Hel-Or, Hagit
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial Intelligence
color
Computer science
control theory
systems
enhancement
Exact sciences and technology
Geometry
Humans
Illumination
Image contrast
Image Enhancement - methods
Image Processing, Computer-Assisted - methods
Image reconstruction
Light sources
Lighting
Lighting - methods
Pattern Recognition, Automated - methods
Pattern recognition. Digital image processing. Computational geometry
Pixel
region growing
Reproduction
shading
shadow detection
Shadow removal
Shadows
Studies
Surface layer
Surface texture
Surface treatment
Texture
Transformations
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Removal of shadows from a single image is a challenging problem. Producing a high-quality shadow-free image which is indistinguishable from a reproduction of a true shadow-free scene is even more difficult. Shadows in images are typically affected by several phenomena in the scene, including physical phenomena such as lighting conditions, type and behavior of shadowed surfaces, occluding objects, etc. Additionally, shadow regions may undergo postacquisition image processing transformations, e.g., contrast enhancement, which may introduce noticeable artifacts in the shadow-free images. We argue that the assumptions introduced in most studies arise from the complexity of the problem of shadow removal from a single image and limit the class of shadow images which can be handled by these methods. The purpose of this paper is twofold: First, it provides a comprehensive survey of the problems and challenges which may occur when removing shadows from a single image. In the second part of the paper, we present our framework for shadow removal, in which we attempt to overcome some of the fundamental problems described in the first part of the paper. Experimental results demonstrating the capabilities of our algorithm are presented.
ISSN:0162-8828
1939-3539
2160-9292
DOI:10.1109/TPAMI.2010.157