Color Constancy Using Natural Image Statistics and Scene Semantics

A Gijsenij; T Gevers

doi:10.1109/tpami.2010.93

Color Constancy Using Natural Image Statistics and Scene Semantics

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2010.93 ◽

2011 ◽

Vol 33 (4) ◽

pp. 687-698 ◽

Cited By ~ 149

Author(s):

A Gijsenij ◽

T Gevers

Keyword(s):

Color Constancy ◽

Natural Image ◽

Natural Image Statistics ◽

Image Statistics

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Color Constancy using Natural Image Statistics

2007 IEEE Conference on Computer Vision and Pattern Recognition ◽

10.1109/cvpr.2007.383206 ◽

2007 ◽

Cited By ~ 57

Author(s):

Arjan Gijsenij ◽

Theo Gevers

Keyword(s):

Color Constancy ◽

Natural Image ◽

Natural Image Statistics ◽

Image Statistics

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On Color Image Quality Assessment Using Natural Image Statistics

2014 Tenth International Conference on Signal-Image Technology and Internet-Based Systems ◽

10.1109/sitis.2014.60 ◽

2014 ◽

Cited By ~ 1

Author(s):

Mounir Omari ◽

Mohammed El Hassouni ◽

Hocine Cherifi ◽

Abdelkaher Ait Abdelouahad

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Image Quality Assessment ◽

Color Image ◽

Natural Image ◽

Natural Image Statistics ◽

Image Statistics

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Correction: Gaussian-binary restricted Boltzmann machines for modeling natural image statistics

PLoS ONE ◽

10.1371/journal.pone.0174289 ◽

2017 ◽

Vol 12 (3) ◽

pp. e0174289

Author(s):

Jan Melchior ◽

Nan Wang ◽

Laurenz Wiskott

Keyword(s):

Natural Image ◽

Natural Image Statistics ◽

Restricted Boltzmann Machines ◽

Image Statistics ◽

Boltzmann Machines

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Image Restoration Using Natural Image Statistics

Frontiers in Optics 2009/Laser Science XXV/Fall 2009 OSA Optics & Photonics Technical Digest ◽

10.1364/srs.2009.stuc7 ◽

2009 ◽

Cited By ~ 1

Author(s):

Zhiying Wen ◽

Donald Fraser ◽

Andrew Lambert

Keyword(s):

Image Restoration ◽

Natural Image ◽

Natural Image Statistics ◽

Image Statistics

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Sparse natural image statistics and their applications to colorization and compression

2010 IEEE International Conference on Image Processing ◽

10.1109/icip.2010.5652168 ◽

2010 ◽

Cited By ~ 2

Author(s):

Alexander Balinsky ◽

Nassir Mohammad

Keyword(s):

Natural Image ◽

Natural Image Statistics ◽

Image Statistics

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Visualizing Natural Image Statistics

IEEE Transactions on Visualization and Computer Graphics ◽

10.1109/tvcg.2012.312 ◽

2013 ◽

Vol 19 (7) ◽

pp. 1228-1241 ◽

Cited By ~ 3

Author(s):

Hui Fang ◽

G. K-L Tam ◽

R. Borgo ◽

A. J. Aubrey ◽

P. W. Grant ◽

...

Keyword(s):

Natural Image ◽

Natural Image Statistics ◽

Image Statistics

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Image quality assessment using natural image statistics in gradient domain

AEU - International Journal of Electronics and Communications ◽

10.1016/j.aeue.2010.05.007 ◽

2011 ◽

Vol 65 (5) ◽

pp. 392-397 ◽

Cited By ~ 17

Author(s):

Guangquan Cheng ◽

Jincai Huang ◽

Zhong Liu ◽

Cheng Lizhi

Keyword(s):

Image Quality ◽

Quality Assessment ◽

Image Quality Assessment ◽

Natural Image ◽

Natural Image Statistics ◽

Image Statistics ◽

Gradient Domain

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High-frequency shape and albedo from shading using natural image statistics

CVPR 2011 ◽

10.1109/cvpr.2011.5995392 ◽

2011 ◽

Cited By ~ 21

Author(s):

Jonathan T. Barron ◽

Jitendra Malik

Keyword(s):

High Frequency ◽

Natural Image ◽

Natural Image Statistics ◽

Image Statistics

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Estimating an Image's Blur Kernel Using Natural Image Statistics, and Deblurring it: An Analysis of the Goldstein-Fattal Method

Image Processing On Line ◽

10.5201/ipol.2018.211 ◽

2018 ◽

Vol 8 ◽

pp. 282-304 ◽

Cited By ~ 2

Author(s):

Jérémy Anger ◽

Gabriele Facciolo ◽

Mauricio Delbracio

Keyword(s):

Natural Image ◽

Natural Image Statistics ◽

Image Statistics ◽

Blur Kernel

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Systematic deviations between human and ideal observers in visual spatial averaging imply adaptation to natural-image statistics

Journal of Vision ◽

10.1167/jov.21.9.2669 ◽

2021 ◽

Vol 21 (9) ◽

pp. 2669

Author(s):

Takahiro Doi ◽

Johannes Burge

Keyword(s):

Natural Image ◽

Spatial Averaging ◽

Natural Image Statistics ◽

Image Statistics ◽

Visual Spatial ◽

Ideal Observers

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