Research Codes

CVPR 2012:

[1]         M. Yang, L. Zhang, D. Zhang and S. Wang, “Relaxed Collaborative Representation for Pattern Classification,” in CVPR 2012. (paper) (code will be available soon)

[2]         S. Wang, L. Zhang, Y. Liang and Q. Pan, “Semi-Coupled Dictionary Learning with Applications to Image Super-Resolution and Photo-Sketch Image Synthesis,” in CVPR 2012

ICCV 2011:

[3]         L. Zhang, M. Yang and X. Feng, “Sparse Representation or Collaborative Representation: Which Helps Face Recognition?” in ICCV 2011. (paper, code)

[4]         M. Yang, L. Zhang, X. Feng and D. Zhang, “Fisher Discrimination Dictionary Learning for Sparse Representation,” in ICCV 2011

[5]         L. Zhang, P. Zhu, Q. Hu and D. Zhang, “A Linear Subspace Learning Approach via Sparse Coding,” in ICCV 2011. (paper, code)(Some errors in the experimental results on MPIE database were corrected.)

[6]         W. Dong, L. Zhang and G. Shi, “Centralized Sparse Representation for Image Restoration,” inICCV 2011

CVPR 2011:

[7]         Meng Yang, Lei Zhang, Jian Yang and David Zhang, “Robust Sparse Coding for Face Recognition,” CVPR 2011. (paper) (code)

     This work presents a general sparse coding method which can handle the face occlusion and corruption very effectively!

[8]         Weisheng Dong, Xin Li, Lei Zhang and Guangming Shi, “Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering,” CVPR 2011 (oral). (paper) (code)

ECCV 2010:

Image Quality Assessment

[11]     Lin Zhang, Lei Zhang, X. Mou and D. Zhang, “FSIM: A Feature Similarity Index for Image Quality Assessment,” IEEE Trans. Image Processing, vol. 20, no. 8, pp. 2378-2386, 2011. 

Image Interpolation, Restoration and Video Super-resolution

[13]     W. Dong, L. Zhang, G. Shi and X. Wu, “Image deblurring and supper-resolution by adaptive sparse domain selection and adaptive regularization,” accepted in IEEE Trans. on Image Processing.   code & website)

[14]     L. Zhang and X. Wu, “An edge-guided image interpolation algorithm via directional filtering and data fusion,” IEEE Trans. on Image Processing, vol. 15, pp. 2226-2238, Aug. 2006.  code)

[15]     Weisheng Dong, Lei Zhang, Guangming Shi, Xiaolin Wu, “NONLOCAL BACK-PROJECTION FOR ADAPTIVE IMAGE ENLARGEMENT”, ICIP 2009. (code) (a small bug has been fixed)

[16]     L. Zhang, X. Li and D. Zhang, “Image Denoising and Zooming under the LMMSE Framework,” to appear in IET Image Processing. (paper) (code)

[17]     Huihui Song, Lei Zhang, Peikang Wang, Kaihua Zhang and Xin Li, “AN ADAPTIVE L1-L2 HYBRID ERROR MODEL TO SUPER-RESOLUTION,” ICIP 2010. (code)

Image Segmentation

[18]     B. Peng, L. Zhang and D. Zhang, “Automatic Image Segmentation by Dynamic Region Merging”, IEEE Trans. Image Processing, vol. 12, no. 12, pp. 3592-3605, 2011. 

[19]     B. Peng, L. Zhang, D. Zhang and J. Yang, “Image Segmentation by Iterated Region Merging with Localized Graph Cuts”, to appear in Pattern Recognition. 

[20]     K. Zhang, L. Zhang, H. Song and W. Zhou, “Active contours with selective local or global segmentation: a new formulation and level set method,” Image and Vision Computing, vol. 28, issue 4, pp. 668-676, April 2010.

[21]     K. Zhang, H. Song and L. Zhang, “Active Contours Driven by Local Image Fitting Energy,” Pattern recognition, vol. 43, issue 4, pp. 1199-1206, April 2010.  code)

[22]     J. Ning, L. Zhang, D. Zhang and C. Wu, “Interactive Image Segmentation by Maximal Similarity based Region Merging,” Pattern Recognition, vol. 43, pp. 445-456, Feb, 2010.

Image Denoising

[25]     L. Zhang, W. Dong, D. Zhang and G. Shi, “Two-stage Image Denoising by Principal Component Analysis with Local Pixel Grouping,” Pattern Recognition, vol. 43, issue 4, pp. 1531-1549, April 2010.  (Code optimized!)

[26]     L. Zhang, B. Paul and X. Wu, “Multiscale LMMSE-based image denoising with optimal wavelet selection,”IEEE Trans. on Circuits and Systems for Video Technology, vol. 15, pp. 469-481, April 2005. code)

Color Demosaicking and Joint Demosaicking-Denoising, etc

[27]     L. Zhang, X. Wu, A. Buades, and X. Li, "Color Demosaicking by Local Directional Interpolation and Non-local Adaptive Thresholding," Journal of Electronic Imaging 20(2), 023016 (Apr-Jun 2011), DOI:10.1117/1.3600632.

[28]     Lei Zhang, Weisheng Dong, Xiaolin Wu, Guangming Shi, “Spatial-Temporal Color Video Reconstruction from Noisy CFA Sequence,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 20, no. 6, pp. 838-847, June 2010. (paper, , source code will be available soon)

[29]     L. Zhang,R. Lukac, X. Wu and D. Zhang, “PCA-based Spatially Adaptive Denoising of CFA Images for Single-Sensor Digital Cameras,” IEEE Trans. on Image Processing, vol. 18, no. 4, pp. 797-812, April 2009.

[30]     L. Zhang, X. Wu and D. Zhang, “Color Reproduction from Noisy CFA Data of Single Sensor Digital Cameras,” IEEE Trans. Image Processing, vol. 16, no. 9, pp. 2184-2197, Sept. 2007.  

[31]     L. Zhang and X. Wu, “Color demosaicking via directional linear minimum mean square-error estimation,”IEEE Trans. on Image Processing, vol. 14, pp. 2167-2178, Dec. 2005.  code)

[32]     L. Zhang and D. Zhang, “A joint demosaicking-zooming scheme for single chip digital color cameras”,Computer Vision and Image  Understanding, Special issue on Color Image Processing, vol. 107, pp. 14-25, July-Aug, 2007.  code)

[33]     X. Wu and L. Zhang, “Improvement of color video demosaicking in temporal domain,” IEEE Trans. on Image Processing, vol. 15, pp. 3138-3151, Oct. 2006

Edge Detection and Corner Detection

[34]     B. Paul, L. Zhang and X. Wu, “Canny edge detection enhancement by scale multiplication,” IEEE. Trans. on Pattern Analysis and Machine Intelligence, vol. 27, pp. 1485-1490, Sept. 2005.  code)

Point Set Matching and Shape Matching

[36]     W. Lian, L. Zhang and D. Zhang, “Rotation Invariant Nonrigid Point Set Matching in Cluttered Scenes,”IEEE Trans. Image Processing, to appear, 2012. 

[37]     W. Lian,L. Zhang, Y. Liang and Q. Pan, “A Quadratic Programming based Cluster Correspondence Projection Algorithm for Fast Point Matching,” Computer Vision and Image Understanding, Vol. 114, Issue 3, pp. 322-333, March 2010.(paper code)

Object Tracking

[38]     J. Ning, L. Zhang, D. Zhang and C. Wu, “Scale and Orientation Adaptive Mean Shift Tracking,” to appear in IET Computer Vision. 

[39]     J. Ning, L. Zhang, D. Zhang and C. Wu, “Robust Mean Shift Tracking with Corrected Background-Weighted Histogram,” to appear in IET Computer Vision. (We prove that the background-weighted histogram in the original mean-shift tracking method is incorrect.)

[40]     J. Ning, L. Zhang, D. Zhang and C. Wu, “Robust Object Tracking using Joint Color-Texture Histogram,”International Journal of Pattern Recognition and Artificial Intelligence, vol. 23, No. 7 (2009) 1245–1263.  code)

Texture Classification

[41]     Z. Guo, L. Zhang and D. Zhang, “A Completed Modeling of Local Binary Pattern Operator for Texture Classification,” IEEE Trans. on Image Processing, vol. 19, no. 6, pp. 1657-1663, June 2010. code) (a small bug in the code is fixed)

[42]     Z. Guo, L. Zhang and D. Zhang, “Rotation Invariant Texture Classification using LBP Variance (LBPV) with Global Matching”, Pattern Recognition, vol. 43, no. 3, pp. 706-719, Mar. 2010.  code)

Image Retrieval

[45]     Guang-Hai Liu, Lei Zhang,Ying-Kun Hou, Zuo-yong Li and Jing-Yu Yang, “Image Retrieval Based on Multi-Texton Histogram,” accepted by Pattern Recognition. (paper, code)

[46]     G. Liu, Z. Li, L. Zhang and Y. Xu, “Image Retrieval based on Micro-structure Descriptor,” to appear inPattern Recognition. (paper) (code)

Face Recognition

[49]     Q. Gao, L. Zhang and D. Zhang, “Face Recognition using FLDA with Single Training Image Per-person,”Applied Mathematics and Computation, vol. 205, pp. 726-734, 2008. (paper, code)

Medical Image Processing and Enhancement

[50]     B. Paul and L. Zhang “Noise Reduction for Magnetic Resonance Images via Adaptive Multiscale Products Thresholding,” IEEE Trans. on Medical Imaging, vol.22, pp. 1089-1099, Sep. 2003.  code)

[51]     Bob Zhang, Lin Zhang, Lei Zhang and Fakhri Karray, “Retinal Vessel Extraction by Matched Filter with First-Order Derivative of Gaussian,” Computers in Biology and Medicine, Volume 40, Issue 4, April 2010, Pages 438-445. code)

Bioinformatics

[52]     C. Zheng, L. Zhang, T. Ng, C. Shiu and D. Huang, “Molecular Pattern Discovery Based on Penalized Matrix Decomposition”, accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics.(paper, code)

[53]     C. Zheng, L. Zhang, T. Ng, and C. Shiu, “Metasample Based Sparse Representation for Tumor Classification,” accepted by IEEE/ACM Transactions on Computational Biology and Bioinformatics. (paper, code)

[54]     C. Zheng, D. Huang, L. Zhang and X. Kong, “Tumor Clustering Using Nonnegative Matrix Factorization with Gene Selection,” IEEE Trans. Information Technology in Biomedicine, vol. 13, no. 4, pp.599-607, July 2009.(paper, code)