Specular highlights detection and reduction with multi-flash photography

Rogerio Feris; Ramesh Raskar; Kar-Han Tan; Matthew Turk

doi:10.1007/bf03192386

Specular highlights detection and reduction with multi-flash photography

Journal of the Brazilian Computer Society ◽

10.1007/bf03192386 ◽

2006 ◽

Vol 12 (1) ◽

pp. 35-42 ◽

Cited By ~ 6

Author(s):

Rogerio Feris ◽

Ramesh Raskar ◽

Kar-Han Tan ◽

Matthew Turk

Keyword(s):

Specular Highlights ◽

Highlights Detection

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Specular Highlights Detection Using a U-Net Based Deep Learning Architecture

2020 Fourth International Conference on Multimedia Computing, Networking and Applications (MCNA) ◽

10.1109/mcna50957.2020.9264278 ◽

2020 ◽

Author(s):

Leanne Attard ◽

Carl James Debono ◽

Gianluca Valentino ◽

Mario di Castro

Keyword(s):

Deep Learning ◽

Specular Highlights ◽

Highlights Detection

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Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos

Machine Vision and Applications ◽

10.1007/s00138-017-0864-0 ◽

2017 ◽

Vol 28 (8) ◽

pp. 917-936 ◽

Cited By ~ 5

Author(s):

F. Javier Sánchez ◽

Jorge Bernal ◽

Cristina Sánchez-Montes ◽

Cristina Rodríguez de Miguel ◽

Gloria Fernández-Esparrach

Keyword(s):

Bright Spot ◽

Specular Highlights ◽

Highlights Detection

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A Specular Shape-from-Shading Method with Constrained Inpaiting

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.530-531.377 ◽

2014 ◽

Vol 530-531 ◽

pp. 377-381

Author(s):

Ji Quan Ma ◽

Fan Hui Kong ◽

Peng Zhao ◽

Bing Gong

Keyword(s):

Shape From Shading ◽

Surface Shape ◽

Detection Methods ◽

Posteriori Probability ◽

A Posteriori ◽

A Posteriori Probability ◽

Intensity Information ◽

Curvature Continuity ◽

Specular Highlights ◽

Highlights Detection

The existence of specular highlights is a great obstacle of shape-from-Shading. For a single gray-scale image with only intensity information, the existed highlights detection methods based on chroma or polarization analysis cannot directly be applied on it. So, a method using surface shape is provided, it makes full use of the imaging process. Through the surface normal estimation, compute the maximum a posteriori probability of each reflection composition under simulated annealing and detect the highlights areas. Finally, remove the highlights based on the assumption of curvature continuity. Experiments reveal that this method is effective on synthetic and real-world images, improves the accuracy of surface recovery for image combined specular highlights.

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