Image Shadow Removal Using Paired Region Illumination Transfer

Qi Chen; Xing Ben Yang; Lei Jin

doi:10.4028/www.scientific.net/AMM.734.568

Paper Titles

Application of Dynamic Chaos PSO Algorithm in Elevator Configuration
p.548

JPEG Image Encryption Algorithm Based on Three-Dimensional Multi-Chaotic System
p.554

One-Step Weights Updating Back-Propagation Neural Network for Nonlinear System Identification
p.558

Face Recognition by PCA and Improved LBP Fusion Algorithm
p.562

Image Shadow Removal Using Paired Region Illumination Transfer
p.568

Statistical Analysis of the Magnetic Resonance Transmit Radiofrequency Field by the Saturated Turbo FLASH Method
p.572

Acquisition Method of Typical Time Course for Stationary Signal Basing on Frequency Weighting
p.577

Petiole Segmentation Method Based on Multi-Structure Elements Morphology
p.581

A Novel Image Denoising Method in 2-D Fractional Time-Frequency Domain
p.586

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 734Image Shadow Removal Using Paired Region...

Image Shadow Removal Using Paired Region Illumination Transfer

Abstract:

In this paper we present a novel method for shadow detection and removal in single images. Instead of a single Gaussian distribution in the shadow detection stage, it is assumed as a Gaussian Mixture Shadow Model (GMSM) which parameters are estimated by model learning. In addition to considering individual regions separately, we predict relative illumination conditions between the shadow regions and non-shadow regions. The shadow image is recovered by relighting each pixel based on our paired lighting model. The experiment results confirm the effectiveness of our proposed method.