Chromaticity-based separation of reflection components in a single image

Authors:
Hui-Liang Shen;Hong-Gang Zhang;Si-Jie Shao;John H. Xin
Affiliations:
Department of Information and Electronic Engineering, Zhejiang University, Hangzhou 310027, China;Department of Information and Electronic Engineering, Zhejiang University, Hangzhou 310027, China;Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China;Institute of Textiles and Clothing, The Hong Kong Polytechnic University, Hong Kong, China
Venue:
Pattern Recognition
Year:
2008

Citing 12
Cited 7

Modeling Light Reflection for Computer Color Vision

IEEE Transactions on Pattern Analysis and Machine Intelligence
Surface Identification Using the Dichromatic Reflection Model

IEEE Transactions on Pattern Analysis and Machine Intelligence
Using color to separate reflection components

Color
Separation of Reflection Components Using Color and Polarization

International Journal of Computer Vision
Refractive index estimation and color image rendering

Pattern Recognition Letters - Special issue: Colour image processing and analysis
Highlight Removal by Illumination-Constrained Inpainting

ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Separating Reflection Components Based on Chromaticity and Noise Analysis

IEEE Transactions on Pattern Analysis and Machine Intelligence
Separating Reflection Components of Textured Surfaces Using a Single Image

IEEE Transactions on Pattern Analysis and Machine Intelligence
Inpainting Highlights Using Color Line Projection

IEICE - Transactions on Information and Systems
Specularity removal in images and videos: a PDE approach

ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Classifying color edges in video into shadow-geometry, highlight, or material transitions

IEEE Transactions on Multimedia
The 4-source photometric stereo technique for three-dimensional surfaces in the presence of highlights and shadows

IEEE Transactions on Pattern Analysis and Machine Intelligence

Evolutive Parametric Approach for Specular Correction in the Dichromatic Reflection Model

HAIS '08 Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems
Improved color acquisition and mapping on 3D models via flash-based photography

Journal on Computing and Cultural Heritage (JOCCH)
Hybrid color space transformation to visualize color constancy

HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Specular highlight removal using reflection component separation and joint bilateral filtering

IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Artifacts removal for color projection on 3D models using flash light

VAST'09 Proceedings of the 10th International conference on Virtual Reality, Archaeology and Cultural Heritage
Removing shadows for color projection using sun position estimation

VAST'10 Proceedings of the 11th International conference on Virtual Reality, Archaeology and Cultural Heritage
A new projection space for separation of specular-diffuse reflection components in color images

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV

Quantified Score

Hi-index	0.01

Visualization

Abstract

The separation of diffuse and specular reflection components, or equivalently specularity removal, is required in the fields of computer vision, object recognition and image synthesis. This paper proposes a simple and effective method to separate reflections in a color image based on the error analysis of chromaticity and appropriate selection of body color for each pixel. By solving the least-squares problem of the dichromatic reflection model, reflection separation is implemented on a single pixel level, without requiring image segmentation and even local interactions between neighboring pixels. Experimental evaluation indicates that the proposed method is effective and can deal with a wide variety of images.