Publications
Preprints
Gregery T. Buzzard, Stanley H. Chan and Charles A. Bouman ‘‘PlugandPlay Unplugged: Optimization Free Reconstruction using Consensus Equilibrium’’, submitted. [CODE]
Joon Hee Choi, Omar A. Elgendy and Stanley H. Chan, ‘‘Integrating Disparate Sources
of Experts for Robust Image Denoising’’, submitted.
Journals
Omar A. Elgendy and Stanley H. Chan, ‘‘Optimal Threshold Design for Quanta Image
Sensor’’, IEEE Trans. Computational Imaging, vol. 4, no. 1, Mar. 2018, pp. 99111. [CODE]
Stanley H. Chan, Todd Zickler, and Yue M. Lu, ‘‘Understanding symmetric smoothing
filters: A Gaussian mixture model perspective’’, IEEE Trans. Image Process., vol. 26, no. 11, pp. 5107–5121, Nov.
2017.
Stanley H. Chan, Xiran Wang, and Omar Elgendy, ‘‘PlugandPlay ADMM for image
restoration: Fixed point convergence and applications’’, IEEE Trans. Comp. Imaging, vol. 3, no. 5, pp.84–98, Mar.
2017. [CODE]
Stanley H. Chan, Omar Elgendy and Xiran Wang, ‘‘Images from bits:
Noniterative image reconstruction for quanta image sensors’’, MDPI Sensors Special Issue on PhotonCounting Image
Sensors, vol. 16, no. 11, paper 1961, pp.121, Nov. 2016.
Enming Luo, Stanley H. Chan, and Truong Q. Nguyen, ‘‘Adaptive image denoising by
mixture adaptation’’, IEEE Trans. Image Process., vol. 25, no. 10., pp.4489–4503, Oct. 2016.
[CODE]
ChienSheng Liao, Joon Hee Choi, Delong Zhang, Stanley H. Chan, and Jixin Cheng,
‘‘Denoising stimulated Raman spectroscopic images by total
variation minimization’’, Journal of Physical Chemistry C, vol. 119, no. 33, pp.19397–19403, Jul. 2015.
[CODE]
Enming Luo, Stanley H. Chan, and Truong Q. Nguyen, ‘‘Adaptive image denoising by
targeted databases’’, IEEE Trans. Image Process., vol. 24, no. 7, pp.21672181, Jul. 2015. [CODE]
LeeKang Liu, Stanley H. Chan, and Truong Q. Nguyen, ‘‘Depth Reconstruction from
Sparse Samples: Representation, algorithm, and sampling’’, IEEE Trans. Image Process., vol. 24, no. 6, pp.
19831996, Jun. 2015. [CODE]
Stanley H. Chan, Todd Zickler, and Yue M. Lu, ‘‘Monte Carlo nonlocal means: Random
sampling for largescale image filtering’’, IEEE Trans. Image Process., vol. 23, no. 8, pp. 37113725, Aug. 2014.
[CODE]
Stanley H. Chan and Edoardo M. Airoldi, ‘‘A consistent histogram
estimator for exchangeable graph models’’, Journal of Machine Learning Research Workshop and Conference Proceedings,
vol. 32, no. 1, pp. 208216, 2014. [CODE]
EdoardoM. Airoldi, Thiago B. Costa and Stanley H. Chan,
‘‘Stochastic blockmodel approx imation of a graphon: Theory and consistent estimation,’’ Advances in Neural
Information Processing Systems (NIPS), pp.692–700, Dec. 2013. [CODE]
Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gibson, Philip E. Gill and Truong Q. Nguyen,
‘‘An augmented Lagrangian method for total variation video
restoration,’’ IEEE Trans. Image Process., vol. 20, issue 11, pp.3097–3111, Nov. 2011.
[CODE]
Stanley H. Chan and Truong Q. Nguyen, ‘‘LCD motion blur: modeling, analysis and
algorithm,’’ IEEE Trans. Image Process., vol.20, issue 8, pp.2352–2365, Aug. 2011.
Stanley H. Chan, Thomas X. Wu and Truong Q. Nguyen, ‘‘Comparison of two frame
rate conversion schemes for reducing LCD motion blurs,’’ IEEE Signal Process. Letters, vol. 17, issue 9, pp.783–786,
Sep. 2010.
Stanley H. Chan, Alfred K. Wong, and Edmund Y. Lam, ‘‘Initialization for
robust inverse synthesis of phaseshifting masks in optical projection lithography,’’ Optics Express, vol. 16, no.
9, pp.14746–14760, Sep. 2008.
Conference
Joon Hee Choi, Omar A. Elgendy and Stanley H. Chan, ‘‘Image reconstruction for Quanta Image Sensors using deep neural
networks’’, IEEE ICASSP, pp. 6543–6547, Calgary, Canada, Apr. 2018.
Yiheng Chi and Stanley H. Chan, ‘‘Fast and robust recursive filter for image denoising’’, IEEE ICASSP, pp. 1708 1712, Calgary, Canada, Apr.
2018. [CODE]
Xiran Wang and Stanley H. Chan, ‘‘Parameterfree PlugandPlay ADMM for image restoration’’, IEEE ICASSP,
pp.13231327, New Orleans, Louisiana, Mar. 2017.
Chiman Kwan, Joon Hee Choi, Stanley H. Chan, Jin Zhou, and Bence Budavari,
‘‘Resolution enhancement for
hyperspectral images: A superresolution and fusion approach’’, IEEE
ICASSP, pp.61806184, New Orleans, Louisiana, Mar. 2017.
(Best Paper Award) Omar Elgendy and Stanley H. Chan, ‘‘Image reconstruction
and threshold design for quanta image sensors’’, IEEE ICIP, pp.978982, Phoenix, Arizona, Sep. 2016.
Stanley H. Chan, Enming Luo, and Truong Q. Nguyen, ‘‘Adaptive
patchbased image denoising by EM adaptation’’, IEEE GlobalSIP, pp. 810814, Orlando, Florida, Dec. 2015.
Stanley H. Chan, Todd Zickler, Yue M. Lu, ‘‘Understanding symmetric
smoothing filters via Gaussian mixtures’’, IEEE ICIP, pp. 25002504, Quebec City, Canada, Sep. 2015.
Stanley H. Chan, and Yue M. Lu, ‘‘Efficient image reconstruction for gigapixel
quantum image sensors’’, IEEE GlobalSIP, pp. 312316, Atlanta, Georgia, Dec. 2014.
Enming Luo, Stanle H. Chan, and Truong Q. Nguyen, ‘‘Image Denoising by
Targeted External Databases’’, IEEE ICASSP, pp. 30193023, Florence, Italy, May 2014.
Stanley H. Chan, Thiago B. Costa and Edoardo M. Airoldi, ‘‘Estimation of
exchangeable random graph models by stochastic blockmodel approximation,’’ IEEE GlobalSIP, pp.293296, Austin,
Texas, Dec. 2013.
Enming Luo, Stanley H. Chan, Shenjun Pan and Truong Q. Nguyen, ‘‘Adaptive non
local means for multiview image denoising  searching for the right patches via a statistical approach,’’ IEEE ICIP,
Melbourne, Australia, Sep. 2013.
Stanley H. Chan, Todd Zickler and Yue M. Lu, ‘‘Fast nonlocal filtering by
random sampling: it works, especially for large images,’’ IEEE ICASSP, pp.16031607, Vancouver, Canada, May 2013.
Daniel Pipa, Stanley H. Chan and Truong Q. Nguyen, ‘‘Directional
decomposition based total variation image restoration,’’ EUSIPCO, pp. 15581562, Bucharest, Romania, Aug. 2012.
LeeKang Liu, Stanley H. Chan and Truong Q. Nguyen, ‘‘Do we really need
Gaussian filters for feature point detection?’’ EUSIPCO, pp. 131135, Bucharest, Romania, Aug. 2012.
Stanley H. Chan and Truong Q. Nguyen, ‘‘Singleimage, twolayered, outoffocus
blur removal,’’ Proc. SPIE 8500, pp.1  15, San Diego, California, Aug. 2012.
Stanley H. Chan and Truong Q. Nguyen, ‘‘Single image spatialvariant
outoffocus blur removal,’’ IEEE ICIP, pp.677 680, Brussels, Belgium, Sep. 2011.
Stanley H. Chan, Ankit K. Jain, Truong Q. Nguyen and Edmund Y. Lam, ‘‘Bounds for the condition numbers of spatially variant convolution matrices in image restoration problems,’’ OSA
Topical Meeting in Signal Recovery and Synthesis (OSASRS), Paper SMA4, Jul. 2011.
Ramsin Khoshabeh, Stanley H. Chan and Truong Q. Nguyen, ‘‘Spatiotemporal consistency in video disparity estimation,’’ IEEE ICASSP, pp.885888, Prague, Czech Republic, May
2011.
Stanley H. Chan, Ramsin Khoshabeh, Kristofor B. Gibson, Philip E. Gill and Truong Q. Nguyen,
‘‘An augmented Lagrangian method for video restoration,’’ IEEE
ICASSP, pp. 941944, Prague, Czech Republic, May 2011.
Stanley H. Chan, ‘‘Constructing a sparse convolution matrix for shift varying image
restoration problems,’’ IEEE ICIP, pp.36013604, Hong Kong, Sep. 2010.
Stanley H. Chan and Truong Q. Nguyen, ‘‘LCD motion blur modeling and
simulation,’’ IEEE ICME, pp.400405, Singapore, Jul. 2010.
Stanley H. Chan, Dung Vo and Truong Q. Nguyen, ‘‘Subpixel motion estimation
without interpolation,’’ IEEE ICASSP, pp.722725, Dallas, Texas, Mar. 2010.
Shay HarNoy, Stanley H. Chan and Truong Q. Nguyen, ‘‘Demosaicing images
with mo tion blur,’’ IEEE ICASSP, pp.10061009, Dallas, Texas, Mar. 2010.
Stanley H. Chan and Truong Q. Nguyen, ‘‘Fast LCD motion deblurring by decimation
and optimization,’’ IEEE ICASSP, pp.12011204, Taipei, Taiwan, Apr. 2009.
Stanley H. Chan and Edmund Y. Lam, ‘‘Inverse image problem of designing phase
shifting masks in optical lithography,’’ IEEE ICIP, pp.18321835, San Diego, California, Oct. 2008.
Stanley H. Chan, Alfred K.Wong, and Edmund Y. Lam, ‘‘Inverse synthesis of
phase shifting mask for optical lithography,’’ in OSA Topical Meeting in Signal Recovery and Synthesis (OSASRS),
SMD3, Jun. 2007.
