Computer Science ›› 2016, Vol. 43 ›› Issue (11): 12-18.doi: 10.11896/j.issn.1002-137X.2016.11.003

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Advances Research on Color Constancy Computation under Single Illuminant

TANG Zheng, LIU Hong-zhe and YUAN Jia-zheng   

  • Online:2018-12-01 Published:2018-12-01

Abstract: Advances in color constancy computation under a signal illumination is one of the most popular topics in the computer vision and machine learning.The effect of image automatic white balancing and other applications is directly affected by the reasonableness of the algorithm.Currently,the existing methods on color constancy methods are various.This paper divided color constancy into the unsupervised,the supervised,the algorithms fusion and color invariant description.This paper highlighted four typical color constancy computation ways and analyzed their advantages and disadvantages respectively .Finally,we discussed the evaluation methods and trends of color constancy computation simply.

Key words: Color constancy,Illuminate estimation,Color invariant descriptor

[1] Li Bing,Xiong Wei-hua,Hu Wei-ming,et al.Evaluating Combinational Illumination Estimation Methods on Real-World Images[J].IEEE Trans.on Image Processing,2014,3(3):1194-1209
[2] Van De Weijer J,Schmid C,Verbeek J,et al.Learning colornames for real-world applications[J].IEEE Transactions on Image Processing,2009,18(7):1512-1523
[3] Gijsenij A,Gevers T,Van d W J.Computational Color Constancy:Survey and Experiments[J].IEEE Transactions on Image Processing,2011,20(9):2475-2489
[4] Gijsenij A,Gevers T,van de Weijer J.Generalized gamut mapping using image derivative structures for color constancy[J].International Journal of Computer Vision,2010,86(12):127-139
[5] van de Weijer J,Schmid C.Blur robust and color constant image description[C]∥Proc.of Int.Conf.on Image Processing(ICIP).2006:993-996
[6] Li Bing.Research on Color Constancy Computation[D].Beijing:Beijing Jiaotong University,2009(in Chinese) 李兵.颜色恒常性计算研究[D].北京:北京交通大学,2009
[7] Gehler P V,Rother C,Blake A.Toby Sharp and Tom Minka.Bayesian Color Constancy Revisited[C]∥Proc.of IEEE Int.Conf.on Computer Vision and Pattern Recognition(CVPR).2008:1-8
[8] Weijer J V,Gevers T,Gijsenij A.Edge-Based Color Constancy[J].IEEE Trans.on Image Processing,2007,16(9):2207-2214
[9] Gijsenij A,Gevers T.Color constancy using natural image statistics[J].IEEE Computer Society Conference on Image Proces-sing,2007,3:501-504
[10] Agarwal V,Gribok A V,Abidi M A.Machine learning approach to color constancy[J].Neural Networks,2007,20(5):559-563
[11] Rezagholizadeh M,Clark J J.Edge-Based and Efficient Chromaticity Spatio-spectral Models for Color Constancy[C]∥2013 International Conference on Computer and Robot Vision(CRV).IEEE,2013:188-195
[12] Rosenberg C,Minka T,Ladsariya A.Bayesian Color Constancy with Non-Gaussian Models[C]∥Proc.of Neural Information Processing Systems Conference(NIPS).2003
[13] XU Xiao-zhao,CAI Yi-heng,Liu Xiao-min,et al.Improved Grey World Color Correction Algorithms[J].Acta Photonica Sinica,2010,39(3):559-564(in Chinese) 徐晓昭,蔡轶珩,刘晓民,等.改进灰度世界颜色校正算法[J].光子学报,2010,9(3):559-564
[14] Lu Rui.Research on Computational Color Constancy for Natural Images[D].Beijing:Beijing Jiaotong University,2010(in Chinese) 鹿瑞.自然图形的颜色恒常性计算研究[D].北京:北京交通大学,2010
[15] Finlayson G D,Trezzi E.Shades of gray and color constancy[C]∥Proceeding of IS&T/SID 12th Color Imaging Conference(CIC).2004:37-41
[16] Weijer J V,Schmid C.Coloring Local Feature Extraction[C]∥Proc.of European Conference on Computer Vision(ECCV).2006:334-348
[17] Weijer V,Gevers T,Gijsenij A.Edge-Based Color Constancy[J].IEEE Trans.on Image Processing,2007,16(9):2207-2214
[18] Xiong W,Funt B.Estimating Illumination Chromaticity via Support Vector Regression[J].Journal of Imaging Science and Technology,2006,50(4):341-348
[19] Li B,Xiong W,Hu W,et al.Multi-Cue Illumination Estimation via a Tree-Structured Group Joint Sparse Representation[J].International Journal of Computer Vision,2015,117(1):21-47
[20] Huang G B,Zhu Q Y,Siew C K.Extreme Learning Machine:Theory and Applications[J].Neuro Computing,2006,70:489-501
[21] Finlayson G D,Trezzi E.Shades of gray and color constancy [C]∥Proceeding of 12th Conference on Color Imaging.2004
[22] Chakrabarti A,Hirakawa K,Zickler T.Color Constancy beyond Bags of Pixels[C]∥Proc.of the Int.Conference on Computer Vision and Pattern Recognition(CVPR).2008:1-6
[23] Finlayson G,Hordley S,Hubel P.Color by correlation:A simple,unifying framework for color constancy[J].IEEE Trans.on Pattern Anal.Machine Intell.,2001,23(11):1209-1221
[24] Forsyth D A.A Novel Algorithm for Color Constancy[J].International Journal of Computer Vision,1990,5(1):5-36
[25] Li B,Xiong W,Xu D,et al.A supervised combination strategy for illumination chromaticity estimation[J].ACM Transactions on Applied Perception(TAP),2010,8(1):885-900
[26] Cardei V,Funt B,Barnard K.Estimating the Scene Illumination Chromaticity Using a Neural Network[J].Journal of the Optical Society of America A,2002,9(12):2374-2386
[27] Gevers T,Smeulders A.Color based Object Recognition[J].Pattern Recognition,1999,32(3):453-464
[28] Cardei V C,Funt B.Committee-based color constancy [C]∥Proceeding of 7th Color Imaging Conference.1999:311-313
[29] Russel S,Norvig P,Russel S,et al.Prentice Hall Series in Artificial Intelligence[M].Prentice Hall,1995
[30] Barnard K,Martin L,Funt B.Color by correlation in a three dimensional color space[C]∥Proc.of the 6th European Confe-rence on Computer Vision(ECCV).2000:275-289
[31] Funt B,Barnard K,Martin L.Is color constancy good enough[C]∥Proc.of 5th European Conference on Computer Vision(ECCV).1998:445-459
[32] Brainard D H,Freeman W T.Bayesian Color Constancy[J].Journal of the Optical Society of America A(Optics,Image Scien-ce and Vision),1997,14(7):1393-1411
[33] Gershon R,Jepson A D,Tsotsos J K.From [r,g,b] to Surface Reflectance:Computing Color Constant Descriptors in Images[C]∥Perception.1988:755-758
[34] Land E.The retinex theory of color version[J].Scientific Ame-rican,1977,7(6):108-128
[35] von Kries J.Chromatic adaptation[M]∥Sources of Color Science,1970
[36] Khan R,Van de Weijer J,Shahbaz Khan F,et al.Discriminative color descriptors[C]∥2013 IEEE Conference on Computer Vision and Pattern Recognition(CVPR).IEEE,2013:2866-2873
[37] Land E H.The retinex theory of color vision[J].ScientificAmerican,1977,237(6):108-128
[38] Kecman V.Learning and Soft Computing:Support Vector Machine,Neural Networks,and Fuzzy Logic Models[M].MIT Press,Cambridge,London,2001
[39] Funt B V,Finlayson G D.Color Constant Color Indexing[J].IEEE Trans.on Pattern Analysis and Machine Intelligence,1995,17(5):522-529

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