Dr. Peyman Milanfar Profile

Dr. Peyman Milanfar

Lead Scientist at Google

SPIE Involvement:

Author

Publications (28)

Proceedings Article | 21 August 2020 Presentation + Paper

Video transcoding optimization based on input perceptual quality

Yilin Wang, Hossein Talebi, Feng Yang, Joong Gon Yim, Neil Birkbeck, Balu Adsumilli, Peyman Milanfar

Proceedings Volume 11510, 1151015 (2020) https://doi.org/10.1117/12.2569332

KEYWORDS: Video, Video compression, RGB color model, Data modeling, Machine learning, Image quality

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Proceedings Article | 26 April 2016 Presentation

Optical coherence tomography noise modeling and fundamental bounds on human retinal layer segmentation accuracy (Conference Presentation)

Theodore DuBose, Peyman Milanfar, Joseph Izatt, Sina Farsiu

Proceedings Volume 9697, 96971U (2016) https://doi.org/10.1117/12.2214777

KEYWORDS: Optical coherence tomography, Image segmentation, Mathematical modeling, Retina, Coherence imaging, Algorithm development, Speckle, In vivo imaging, Diagnostics, Detection and tracking algorithms

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Proceedings Article | 27 February 2015 Paper

Motion deblurring with graph Laplacian regularization

Amin Kheradmand, Peyman Milanfar

Proceedings Volume 9404, 94040C (2015) https://doi.org/10.1117/12.2084585

KEYWORDS: Motion estimation, Algorithm development, Image processing, Cameras, Matrices, Image filtering, Electronic filtering, Stochastic processes, Motion models, Motion analysis

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Proceedings Article | 19 September 2014 Open Access

Data-adaptive filtering and the state of the art in image processing (Presentation Video)

Peyman Milanfar

Proceedings Volume 9216, 92160Q (2014) https://doi.org/10.1117/12.2063108

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Proceedings Article | 15 February 2012 Paper

Patch-wise ideal stopping time for anisotropic diffusion

Hossein Talebi, Peyman Milanfar

Proceedings Volume 8305, 83050G (2012) https://doi.org/10.1117/12.908698

KEYWORDS: Diffusion, Image filtering, Nonlinear filtering, Electronic filtering, Anisotropic diffusion, Denoising, Interference (communication), Error analysis, Monte Carlo methods, Image denoising

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Proceedings Article | 10 February 2012 Paper

Finding saliency in noisy images

Chelhwon Kim, Peyman Milanfar

Proceedings Volume 8296, 82960U (2012) https://doi.org/10.1117/12.905760

KEYWORDS: Eye models, Visualization, Performance modeling, Mathematical modeling, Denoising, Data modeling, Statistical modeling, Eye, Visual process modeling, Information visualization

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Proceedings Article | 10 February 2012 Paper

Removal of haze and noise from a single image

Erik Matlin, Peyman Milanfar

Proceedings Volume 8296, 82960T (2012) https://doi.org/10.1117/12.906773

KEYWORDS: Air contamination, Denoising, Image processing, Image transmission, Image quality, Image restoration, Data modeling, RGB color model, Error analysis, Visualization

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Proceedings Article | 18 January 2010 Paper

Image reconstruction from videos distorted by atmospheric turbulence

Xiang Zhu, Peyman Milanfar

Proceedings Volume 7543, 75430S (2010) https://doi.org/10.1117/12.840127

KEYWORDS: Image registration, Video, Reconstruction algorithms, Image restoration, Atmospheric turbulence, Image quality, Image processing, Distortion, Turbulence, Image fusion

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Proceedings Article | 3 February 2009 Paper

Image denoising using locally learned dictionaries

Priyam Chatterjee, Peyman Milanfar

Proceedings Volume 7246, 72460V (2009) https://doi.org/10.1117/12.810486

KEYWORDS: Associative arrays, Denoising, Image denoising, Image processing, Principal component analysis, Image segmentation, Data modeling, Visualization, Electrical engineering, Image acquisition

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Proceedings Article | 26 February 2008 Paper

A generalization of non-local means via kernel regression

Priyam Chatterjee, Peyman Milanfar

Proceedings Volume 6814, 68140P (2008) https://doi.org/10.1117/12.778615

KEYWORDS: Denoising, Image processing, Image denoising, Anisotropic filtering, Data modeling, Error analysis, Image sensors, Image acquisition, Spatial filters, Digital filtering

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SPIE Journal Paper | 1 October 2007

Double-exposure mask synthesis using inverse lithography

Amyn Poonawala, Peyman Milanfar

JM3, Vol. 6, Issue 04, 043001, (October 2007) https://doi.org/10.1117/12.10.1117/1.2794767

KEYWORDS: Photomasks, Lithography, Double patterning technology, Semiconducting wafers, Imaging systems, Detection and tracking algorithms, Coherence imaging, Mathematical modeling, Image processing, Optimization (mathematics)

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Proceedings Article | 26 March 2007 Paper

ILT for double exposure lithography with conventional and novel materials

Amyn Poonawala, Yan Borodovsky, Peyman Milanfar

Proceedings Volume 6520, 65202Q (2007) https://doi.org/10.1117/12.712382

KEYWORDS: Photomasks, Lithography, Absorption, Optical lithography, Transmittance, Modulation, Image transmission, Double patterning technology, Detection and tracking algorithms, Semiconducting wafers

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Proceedings Article | 28 February 2007 Paper

Higher order bilateral filters and their properties

Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar

Proceedings Volume 6498, 64980S (2007) https://doi.org/10.1117/12.714507

KEYWORDS: Image filtering, Smoothing, Signal to noise ratio, Digital filtering, Denoising, Image restoration, Monte Carlo methods, Image fusion, Hassium, Electronic filtering

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Proceedings Article | 20 March 2006 Paper

OPC and PSM design using inverse lithography: a nonlinear optimization approach

Amyn Poonawala, Peyman Milanfar

Proceedings Volume 6154, 61543H (2006) https://doi.org/10.1117/12.655904

KEYWORDS: Photomasks, Imaging systems, Phase shifts, Lithography, Optical proximity correction, Binary data, Coherence imaging, Process modeling, Image processing, Manufacturing

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Proceedings Article | 2 February 2006 Paper

Modeling multiscale differential pixel statistics

David Odom, Peyman Milanfar

Proceedings Volume 6065, 606504 (2006) https://doi.org/10.1117/12.659233

KEYWORDS: Statistical modeling, Image processing, Statistical analysis, Error analysis, Denoising, Expectation maximization algorithms, 3D image processing, Electrical engineering, Super resolution, Bandpass filters

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Proceedings Article | 19 January 2006 Paper

A practical approach to superresolution

Sina Farsiu, Michael Elad, Peyman Milanfar

Proceedings Volume 6077, 607703 (2006) https://doi.org/10.1117/12.644391

KEYWORDS: Lawrencium, Motion estimation, Motion models, Image processing, Image stacking, Optical filters, Image fusion, Cameras, Data modeling, Samarium

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Proceedings Article | 11 March 2005 Paper

Prewarping techniques in imaging: applications in nanotechnology and biotechnology

Amyn Poonawala, Peyman Milanfar

Proceedings Volume 5674, (2005) https://doi.org/10.1117/12.597694

KEYWORDS: Binary data, Photomasks, Optical proximity correction, Imaging systems, Process modeling, Optical lithography, Model-based design, Semiconducting wafers, Mathematical modeling, Reticles

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Proceedings Article | 23 February 2005 Paper

An adaptive framework for image and video sensing

Lior Zimet, Morteza Shahram, Peyman Milanfar

Proceedings Volume 5678, (2005) https://doi.org/10.1117/12.587417

KEYWORDS: Sensors, Video, Cameras, Image sensors, Space sensors, Space operations, Spatial resolution, Optical sensors, Digital imaging, Imaging devices

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Proceedings Article | 22 October 2004 Paper

Dynamic demosaicing and color superresolution of video sequences

Sina Farsiu, Dirk Robinson, Michael Elad, Peyman Milanfar

Proceedings Volume 5562, (2004) https://doi.org/10.1117/12.558936

KEYWORDS: Lawrencium, Optical filters, Image fusion, Motion models, Matrices, Image filtering, Cameras, Filtering (signal processing), Image processing, Video

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Proceedings Article | 21 May 2004 Paper

Multiframe demosaicing and super-resolution from undersampled color images

Sina Farsiu, Michael Elad, Peyman Milanfar

Proceedings Volume 5299, (2004) https://doi.org/10.1117/12.538372

KEYWORDS: Lawrencium, Super resolution, Sensors, Motion estimation, Image filtering, Cameras, Point spread functions, Image sensors, Digital cameras, Optical filters

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Proceedings Article | 18 January 2004 Paper

Improved high-definition video by encoding at an intermediate resolution

Andrew Segall, Michael Elad, Peyman Milanfar, Richard Webb, Chad Fogg

Proceedings Volume 5308, (2004) https://doi.org/10.1117/12.527616

KEYWORDS: Computer programming, Video, Video compression, Image compression, Video coding, Image quality, Super resolution, Matrices, Systems modeling, Image filtering

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Proceedings Article | 5 January 2004 Paper

Statistical analysis of achievable resolution in incoherent imaging

Morteza Shahram, Peyman Milanfar

Proceedings Volume 5204, (2004) https://doi.org/10.1117/12.505150

KEYWORDS: Signal to noise ratio, Image resolution, Signal detection, Statistical analysis, Imaging systems, Sensors, Point spread functions, Composites, Diffraction, Optical imaging

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Proceedings Article | 19 November 2003 Paper

Robust shift and add approach to superresolution

Sina Farsiu, Dirk Robinson, Michael Elad, Peyman Milanfar

Proceedings Volume 5203, (2003) https://doi.org/10.1117/12.507194

KEYWORDS: Super resolution, Mathematical modeling, Motion models, Resolution enhancement technologies, Data modeling, Signal to noise ratio, Cameras, Matrices, Image fusion, Image resolution

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Proceedings Article | 13 August 2002 Paper

Results from a forward-looking GPR mine detection system

Joel Kositsky, Russell Cosgrove, Charles Amazeen, Peyman Milanfar

Proceedings Volume 4742, (2002) https://doi.org/10.1117/12.479091

KEYWORDS: Mining, Land mines, Data modeling, Metals, Radar, Sensors, Image processing, Antennas, Polarization, Palladium

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Proceedings Article | 20 November 2001 Paper

Shape reconstruction from brightness functions

Richard Gardner, Peyman Milanfar

Proceedings Volume 4474, (2001) https://doi.org/10.1117/12.448654

KEYWORDS: Reconstruction algorithms, Inverse problems, Optical spheres, 3D image reconstruction, 3D metrology, Distance measurement, Astrophysics, Radon, Polonium, Asteroids

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Proceedings Article | 13 November 2000 Paper

Shape reconstruction from moments: theory, algorithms, and applications

Peyman Milanfar, Mihai Putinar, James Varah, Bjoern Gustafsson, Gene Golub

Proceedings Volume 4116, (2000) https://doi.org/10.1117/12.406519

KEYWORDS: Reconstruction algorithms, Computed tomography, Algorithms, Tomography, Inverse problems, Magnetism, X-rays, Signal attenuation, Diagnostics, Probability theory

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Proceedings Article | 2 August 1999 Paper

Forward-looking high-resolution GPR system

Joel Kositsky, Peyman Milanfar

Proceedings Volume 3710, (1999) https://doi.org/10.1117/12.356986

KEYWORDS: Antennas, Radar, Autoregressive models, Receivers, Polarization, General packet radio service, Land mines, Target detection, Data modeling, Switching

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Proceedings Article | 16 December 1992 Paper

Statistical approaches to the tomographic reconstruction of finitely parameterized geometric objects

Peyman Milanfar, William Karl, Alan Willsky

Proceedings Volume 1766, (1992) https://doi.org/10.1117/12.130884

KEYWORDS: Signal to noise ratio, Reconstruction algorithms, Binary data, Stochastic processes, Signal processing, Tomography, Image processing, Data modeling, Numerical analysis, Interference (communication)

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Showing 5 of 28 publications

Conference Committee Involvement (17)

Visual Information Processing and Communication VI

10 February 2015 | San Francisco, California, United States

Visual Information Processing and Communication V

5 February 2014 | San Francisco, California, United States

Visual Information Processing and Communication IV

6 February 2013 | Burlingame, California, United States

Visual Information Processing and Communication III

24 January 2012 | Burlingame, California, United States

Visual Information Processing and Communication II

25 January 2011 | San Francisco Airport, California, United States

Visual Information Processing and Communication

19 January 2010 | San Jose, California, United States

Computational Imaging VIII

18 January 2010 | San Jose, California, United States

Visual Communications and Image Processing 2009

20 January 2009 | San Jose, California, United States

Computational Imaging VII

19 January 2009 | San Jose, California, United States

Visual Communications and Image Processing 2008

29 January 2008 | San Jose, California, United States

Computational Imaging VI

28 January 2008 | San Jose, California, United States

Visual Communications and Image Processing 2007

30 January 2007 | San Jose, CA, United States

Computational Imaging V

29 January 2007 | San Jose, CA, United States

Visual Communications and Image Processing 2006

17 January 2006 | San Jose, California, United States

Computational Imaging IV

16 January 2006 | San Jose, California, United States

Computational Imaging III

17 January 2005 | San Jose, California, United States

Computational Imaging II

19 January 2004 | San Jose, California, United States

Showing 5 of 17 Conference Committees

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