[Copyright notice]

   Newly Accepted

• Estimating generalized Gaussian kernels for out-of-focus image deblurring
  Y. Q. Liu, X. Du, H. L. Shen, and S. J. Chen,
  IEEE Transactions on Circuits and Systems on Video Technology (TCSVT),
  Published online. [PDF]

• Equivalent continuous formulation of general hashing problem
  S. Wang, C. Li, and H. L. Shen,
  IEEE Transactions on Cybernetics (TCYB),
  Published online. [PDF]

   2020

• Boosting structure consistency for multispectral and multimodal image registration
  S. Y. Cao, H. L. Shen, S. J. Chen, and C. Li,
  IEEE Transactions on Image Processing (TIP),
  29, 5147-5162, 2020. [PDF][Code]

• Distributed discrete hashing by equivalent continuous formulation
  S. Wang, C. Li, and H. L. Shen,
  IEEE Transactions on Signal and Information Processing over Networks (TSIPN),
  6(1), 196-210, 2020. [PDF]

   2019

• Multispectral image super-resolution via RGB image fusion and radiometric calibration
  Z. W. Pan and H. L. Shen,
  IEEE Transactions on Image Processing (TIP),
  28(4), 1783-1797, 2019. [PDF]

• Distributed graph hashing
  S. Wang, C. Li, and H. L. Shen,
  IEEE Transactions on Cybernetics (TCYB),
  49(5), 1896-1908, 2019. [PDF]

• Block-based multispectral image registration with application to spectral color measurement
  H. L. Shen, Z. Zou, Y. Zhu, and S. Li,
  Optics Communications,
  451, 46-54, 2019. [PDF]

• Lighting deviation correction for integrating-sphere multispectral imaging systems
  Z. Zou, H. L. Shen, S. Li, Y. Zhu, and J. H. Xin,
  Sensors,
  19(16), 3501, 2019. [PDF]

   2018

• Normalized total gradient: a new measure for multispectral image registration
  S. J. Chen, H. L. Shen, C. Li, and J. H. Xin,
  IEEE Transactions on Image Processing (TIP),
  27(3), 1297-1310, 2018. [PDF][Code]

• Machine learning guided rapid focusing with sensor-less aberration corrections
  Y. Jin, Y. Zhang, L. Hu, H. Huang, Q. Xu, X. Zhu, L. Huang, Y. Zheng, H. L. Shen, W. Gong, and K. Si,
  Optics Express,
  26(23), 30162-30171, 2018. [PDF]

   2017

• Distributed learning of predictive structures from multiple tasks over networks
  J. Hua, C. Li, and H. L. Shen,
  IEEE Transactions on Industrial Electronics (TIE),
  64(5), 4246-4256, 2017. [PDF]

• Efficient photometric stereo using kernel regression
  H. L. Shen, T. Q. Han, and C. Li,
  IEEE Transactions on Image Processing (TIP),
  26(1), 439-451, 2017. [PDF]

• Bidirectional texture function image super-resolution using singular value decomposition
  W. Dong, H. L. Shen, Z. W. Pan, and J. H. Xin,
  Applied Optics,
  56(10), 2745-2753, 2017. [PDF]

• Recoloring textile fabric images based on improved fuzzy clustering
  Z. Zou, H. L. Shen, X. Du, S. J. Shao, and J. H. Xin,
  Color Research and Application,
  42(1), 115-123, 2017. [PDF]

   2016

• Fast multispectral imaging by spatial pixel-binning and spectral unmixing
  Z. W. Pan, H. L. Shen, C. Li, S. J. Chen, and J. H. Xin,
  IEEE Transactions on Image Processing (TIP),
  25(8), 3612-3625, 2016. [PDF][Code]

• Spectral bidirectional texture function reconstruction by fusing multiple-color and spectral images
  W. Dong, H. L. Shen, X. Du, S. J. Shao, and J. H. Xin,
  Applied Optics,
  55(36), 10400-10408, 2016. [PDF]

• Eliminating material dependency in spectra measurement via non-neighbouring band regression
  H. L. Shen, Q. G. Ge, Z. H. Zheng, S. J. Shao, and J. H. Xin,
  Coloration Technology,
  132(2), 186-192, 2016. [PDF]

   2015

• Photometric stereo for general BRDFs via reflection sparsity modeling
  T. Q. Han and H. L. Shen,
  IEEE Transactions on Image Processing (TIP),
  24(12), 4888-4903, 2015. [PDF][Code]

• Multispectral image out-of-focus deblurring using interchannel correlation
  S. J. Chen and H. L. Shen,
  IEEE Transactions on Image Processing (TIP),
  24(11), 4433-4445, 2015. [PDF][Code]

• An investigation of how the texture surface of a fabric influences its instrumental color
  L. Luo, K. M. Tsang, H. L. Shen, S. J. Shao, and J. H. Xin,
  Color Research and Application,
  40(5), 472-482, 2015. [PDF]

   2014

• Channel selection for multispectral color imaging using binary differential evolution
  H. L. Shen, J. F. Yao, C. Li, X. Du, S. J. Shao, and J. H. Xin,
  Applied Optics,
  53(4), 634-642, 2014. [PDF][Code]

• Robust photometric stereo using structural light sources
  T. Q. Han, Y. Cheng, H. L. Shen, and X. Du,
  Journal of Electronic Imaging,
  23(3), article 033004, 2014. [PDF]

   2013

• Real-time highlight removal using intensity ratio
  H. L. Shen and Z. H. Zheng,
  Applied Optics,
  52(19), 4483-4493, 2013. [PDF][Code]

• Adaptive characterization method for desktop color printers
  H. L. Shen, Z. H. Zheng, C. C. Jin, X. Du, S. J. Shao, and J. H. Xin,
  Journal of Electronic Imaging,
  22(2), article 023012, 2013. [PDF]

• KIMEL: A kernel incremental metalearning algorithm
  C. Li, Y. Ye, Q. Miao, and H. L. Shen,
  Signal Processing,
  93(6), 1586-1596, 2013. [PDF]

   2012

• Robust surface reconstruction from gradient fields
  Y. Cheng, H. L. Shen, and X. Du,
  Electronics Letters,
  48(7), 375-376, 2012. [PDF]

• Autofocus for multispectral camera using focus symmetry
  H. L. Shen, Z. H. Zheng, W. Wang, X. Du, S. J. Shao, and J. H. Xin,
  Applied Optics,
  51(14), 2616-2623, 2012. [PDF]

   2011

• Correcting cross-media instrument metamerism for reflectance estimation in multispectral imaging
  H. L. Shen, C. W. Weng, H. J. Wan, and J. H. Xin,
  Journal of the Optical Society of America A,
  28(4), 511–516, 2011. [PDF]

• Calibrating light sources by using a planar mirror
  H. L. Shen and Y. Cheng,
  Journal of Electronic Imaging,
  20(1), article 013002, 2011. [PDF]

   2010

• Multispectral image compression by cluster-adaptive subspace representation
  H. L. Shen, K. Li, and J. H. Xin,
  IEEE International Conference on Image Processing (ICIP 2010),
  Hong Kong, 521-524, 2010. [PDF]

• Estimating reflectance from multispectral camera responses based on partial least-squares regression
  H. L. Shen, H. J. Wan, and Z. C. Zhang,
  Journal of Electronic Imaging,
  19(2), article 020501, 2010. [PDF]

   2009

• Simple and efficient method for specularity removal in an image
  H. L. Shen and Q. Y. Cai,
  Applied Optics,
  48(14), 2711-2719, 2009. [PDF]

• Decomposition of shading and reflectance from a texture image
  H. L. Shen and K. Li,
  Optics Letters,
  34(1), 64-66, 2009. [PDF]

   2008

• Chromaticity-based separation of reflection components in a single image
  H. L. Shen, H. G. Zhang, S. J. Shao, and J. H. Xin,
  Pattern Recognition,
  41(8), 2461-2469, 2008. [PDF] [Code]

• Optimal selection of representative colors for spectral reflectance reconstruction in a multispectral imaging system
  H. L. Shen, H. G. Zhang, J. H. Xin, and S. J. Shao,
  Applied Optics,
  47(13), 2494-2502, 2008. [PDF]

• Estimation of optoelectronic conversion functions of imaging devices without using gray samples
  H. L. Shen, J. H. Xin, D. X. Yang, and D. W. Lou,
  Color Research and Application,
  33(2), 135-141, 2008. [