White Balancing by Using Multiple Images via Intrinsic Image Decomposition

Using a flash/no-flash image pair, we propose a novel white-balancing technique that can effectively correct the color balance of a complex scene under multiple light sources. In the proposed method, by using multiple images of the same scene taken under different lighting conditions, we estimate the reflectance component of the scene and the multiple shading components of each image. The reflectance component is a specific object color which does not depend on scene illumination and the shading component is a shading effect caused by the illumination lights. Then, we achieve white balancing by appropriately correcting the estimated shading components. The proposed method achieves better performance than conventional methods, especially under colored illumination and mixed lighting conditions. key words: white balance, intrinsic image, decomposition, sparsity, flash image, `0 norm

[1]  Cewu Lu,et al.  Image smoothing via L0 gradient minimization , 2011, ACM Trans. Graph..

[2]  Joost van de Weijer,et al.  Color constancy based on the Grey-edge hypothesis , 2005, IEEE International Conference on Image Processing 2005.

[3]  Stephen Lin,et al.  Intrinsic colorization , 2008, ACM Trans. Graph..

[4]  Katsushi Ikeuchi,et al.  Consistent surface color for texturing large objects in outdoor scenes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[5]  Mark S. Drew,et al.  Recovering Shading from Color Images , 1992, ECCV.

[6]  Frédo Durand,et al.  User-guided white balance for mixed lighting conditions , 2012, ACM Trans. Graph..

[7]  Frédo Durand,et al.  Light mixture estimation for spatially varying white balance , 2008, ACM Trans. Graph..

[8]  Michael S. Brown,et al.  Single Image Layer Separation Using Relative Smoothness , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[9]  Edward H. Adelson,et al.  Recovering intrinsic images from a single image , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Shunsuke Ono,et al.  Flash/no-flash image integration using convex optimization , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[11]  Sylvain Paris,et al.  User-assisted intrinsic images , 2009, ACM Trans. Graph..

[12]  H. Barrow,et al.  RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES , 1978 .

[13]  Zeev Farbman,et al.  Interactive local adjustment of tonal values , 2006, ACM Trans. Graph..

[14]  Theo Gevers,et al.  Color Constancy using Natural Image Statistics , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[15]  Adrien Bousseau,et al.  Coherent intrinsic images from photo collections , 2012, ACM Trans. Graph..

[16]  Adolfo Muñoz,et al.  Intrinsic Images by Clustering , 2012, Comput. Graph. Forum.

[17]  G. Buchsbaum A spatial processor model for object colour perception , 1980 .

[18]  D H Brainard,et al.  Bayesian color constancy. , 1997, Journal of the Optical Society of America. A, Optics, image science, and vision.

[19]  Yair Weiss,et al.  Deriving intrinsic images from image sequences , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[20]  Masahiro Okuda,et al.  High dynamic range image acquisition using flash image , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[21]  François Pitié,et al.  Automated colour grading using colour distribution transfer , 2007, Comput. Vis. Image Underst..

[22]  Edward H. Adelson,et al.  Ground truth dataset and baseline evaluations for intrinsic image algorithms , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[23]  Yonina C. Eldar,et al.  Block-Sparse Signals: Uncertainty Relations and Efficient Recovery , 2009, IEEE Transactions on Signal Processing.

[24]  José M. Bioucas-Dias,et al.  An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems , 2009, IEEE Transactions on Image Processing.

[25]  Michael F. Cohen,et al.  Digital photography with flash and no-flash image pairs , 2004, ACM Trans. Graph..

[26]  Shunsuke Ono,et al.  Image Recovery by Decomposition with Component-Wise Regularization , 2012, IEICE Trans. Fundam. Electron. Commun. Comput. Sci..