- Projection-based, frequency-domain estimation of superimposed translational motions
- CIRCUITSSYSTEMSSIGNALPROCESS VOL. 19, NO. 4,2000, PP. 321-338
- Resolution and its Enhancement in Imaging Peyman Milanfar et al.
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 10, NO. 4, APRIL 2001 573 A Computationally Efficient Superresolution Image
- Bias Modeling for Image Denoising Priyam Chatterjee and Peyman Milanfar
- UNIVERSITY OF CALIFORNIA RECONSTRUCTING SHAPES FROM SUPPORT AND
- UNIVERSITY OF CALIFORNIA A FAST AND ROBUST FRAMEWORK FOR IMAGE FUSION AND
- Patch-based Near-Optimal Image Denoising Priyam Chatterjee and Peyman Milanfar
- Asymptotic Nearness of Stochastic and Doubly-Stochastic Matrices
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 20, NO. 5, MAY 2011 1221 Practical Bounds on Image Denoising
- 36 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 1, JANUARY 2009 Generalizing the Nonlocal-Means to
- analytica chimica acta 6 0 7 ( 2 0 0 8 ) 168175 available at www.sciencedirect.com
- Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing
- SIAM J. SCI. COMPUT. c 2005 Society for Industrial and Applied Mathematics Vol. 27, No. 3, pp. 10581070
- IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, VOL. 42, NO. 11, NOVEMBER 2004 2569 Trained Detection of Buried Mines in SAR Images
- Journal of Mathematical Imaging and Vision 18: 3554, 2003 c 2003 Kluwer Academic Publishers. Manufactured in The Netherlands.
- 438 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 8, NO. 3, MARCH 1999 low reconstruction video quality. However, the differences between
- SUPERFAST SUPERRESOLUTION Filip Sroubek, Jan Kamenicky
- A NO-REFERENCE SHARPNESS METRIC SENSITIVE TO BLUR AND NOISE Xiang Zhu and Peyman Milanfar
- AN ADAPTIVE NONPARAMETRIC APPROACH TO RESTORATION AND INTERPOLATION FOR MEDICAL IMAGING
- Nonparametric Bottom-Up Saliency Detection by Self-Resemblance Hae Jong Seo and Peyman Milanfar
- VIDEO DENOISING USING HIGHER ORDER OPTIMAL SPACE-TIME ADAPTATION Hae Jong Seo and Peyman Milanfar
- A Generalization of Non-Local Means via Kernel Regression Priyam Chatterjee and Peyman Milanfar
- ILT for Double Exposure Lithography with Conventional and Novel Materials
- ANALYSIS VERSUS SYNTHESIS IN SIGNAL PRIORS Michael Elad
- OPC and PSM design using inverse lithography: A non-linear optimization approach
- Modeling Multiscale Differential Pixel Statistics David Odoma and Peyman Milanfara
- 0-7803-9404-6/05/$20.00 2005 IEEE 1396 CONSTRAINED, GLOBALLY OPTIMAL, MULTI-FRAME MOTION ESTIMATION
- Prewarping Techniques in Imaging: Applications in Nanotechnology and Biotechnology
- Dynamic Demosaicing and Color Super-Resolution of Video Sina Farsiua
- Improved High-Definition Video by Encoding at an Intermediate Resolution
- BIAS-MINIMIZING FILTERS FOR MOTION ESTIMATION Dirk Robinson and Peyman Milanfar
- Shape from Moments as an Inverse Problem Michael Elad Peyman Milanfar Gene H. Golub
- Results from a forward-looking GPR mine detection system Joel Kositsky*a
- A STATISTICAL ANALYSIS OF DIFFRACTION-LIMITED IMAGING Peyman Milanfar and Ali Shakouri
- UNIVERSITY OF CALIFORNIA AN ADAPTIVE FRAMEWORK FOR IMAGE AND VIDEO
- Object Lens CCD array High resolution image
- A NON-PARAMETRIC APPROACH TO AUTOMATIC CHANGE DETECTION IN MRI IMAGES OF THE BRAIN
- ICNAAM-2004 0 0 4 Inverting a multidimensional shape from moments
- Locally Adaptive Kernel Regression for Space-Time Super-Resolution
- SPATIO-TEMPORAL VIDEO INTERPOLATION AND DENOISING USING MOTION-ASSISTED STEERING KERNEL (MASK) REGRESSION
- A STABLE NUMERICAL METHOD FOR INVERTING SHAPE FROM MOMENTS
- UNIVERSITY OF CALIFORNIA STATISTICAL AND INFORMATION-THEORETIC ANALYSIS
- UNIVERSITY OF CALIFORNIA MASK DESIGN FOR SINGLE AND DOUBLE EXPOSURE
- FAST AND ROBUST SUPER-RESOLUTION Sina Farsiu 1
- IMPROVED SPECTRAL ANALYSIS OF NEARBY TONES USING LOCAL DETECTORS Morteza Shahram and Peyman Milanfar
- UNIVERSITY OF CALIFORNIA ESTIMATION THEORETIC ANALYSIS OF MOTION IN IMAGE
- OPTIMAL FRAMEWORK FOR LOW BIT-RATE BLOCK CODERS Yaakov Tsaig, Michael Elad, Gene H. Golub
- UNIVERSITY OF CALIFORNIA KERNEL REGRESSION FOR IMAGE PROCESSING AND
- Statistical Performance Analysis of Superresolution Image Reconstruction
- Action Recognition from One Example Hae Jong Seo, Student Member, IEEE, and Peyman Milanfar, Fellow, IEEE
- UNIVERSITY of CALIFORNIA ANALYSIS AND APPROACHES TO IMAGE LOCAL
- Removing Atmospheric Turbulence , and Peyman Milanfar
- Digital Signal Processing 15 (2005) 305316 www.elsevier.com/locate/dsp
- UNIVERSITY OF CALIFORNIA A GENERAL FRAMEWORK FOR ITERATIVE
- Adaptive Regression Kernels for Image/Video Restoration and Recognition Peyman Milanfar et al.
- Efficient Registration of Aliased X-Ray Images M. Dirk Robinson , Sina Farsiu, Joseph Y. Lo, Peyman Milanfar, Cynthia A. Toth
- Simultaneous demosaicing and resolution enhancement from under-sampled image
- UNIVERSITY OF CALIFORNIA DIFFERENTIAL PIXEL STATISTIC BASED PRIORS FOR
- Accepted Manuscript Title: Infrared chemical imaging: spatial resolution evaluation
- Spatiotemporal Video Upscaling using Motion-Assisted Steering Kernel (MASK)
- The Annals of Statistics 2006, Vol. 34, No. 3, 13311374
- UNIVERSITY OF CALIFORNIA LOCALLY ADAPTIVE KERNEL REGRESSION METHODS FOR
- A Forward-Looking High-Resolution GPR System Joel Kositsky,*
- IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 53, NO. 7, JULY 2005 2579 be suitable for sub-Gaussian sources, is inconsistent for some of such
- Stabilizing and Deblurring Atmospheric Turbulence Xiang Zhu and Peyman Milanfar
- J Math Imaging Vis 24: 229244, 2006 c 2006 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
- A Statistical Analysis of Achievable Resolution in Incoherent Imaging
- USING LOCAL REGRESSION KERNELS FOR STATISTICAL OBJECT DETECTION Hae Jong Seo and Peyman Milanfar
- IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 10, NO. 9, SEPTEMBER 2001 1299 Efficient Generalized Cross-Validation with
- 1276 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 8, NO. 9, SEPTEMBER 1999 A Model of the Effect of Image Motion
- Robust Shift and Add Approach to Super-Resolution Sina Farsiua
- A Comparison of Some State of the Art Image Denoising Methods
- Higher Order Bilateral Filters and Their Properties Hiroyuki Takedaa, Sina Farsiua, and Peyman Milanfara
- On the Uncertainty Analysis of Shape Reconstruction from Areas of Silhouettes Amyn Poonawala Peyman Milanfar Richard Gardner
- Image Reconstruction from Videos Distorted by Atmospheric Xiang Zhu and Peyman Milanfar
- NONPARAMETRIC DETECTION AND RECOGNITION OF VISUAL OBJECTS FROM A SINGLE EXAMPLE
- A Practical Approach to Super-Resolution Sina Farsiu
- Multiscale Principal Components Analysis for Image Local Orientation Estimation
- 1438 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 18, NO. 7, JULY 2009 Clustering-Based Denoising With
- Fast Geometric Algorithms for Tomographic Nondestructive Evaluation
- DOI: 10.1007/s00454-002-0759-2 Discrete Comput Geom 29:279303 (2003) Discrete & Computational
- Super-Drizzle: Applications of Adaptive Kernel Regression in Astronomical Imaging
- A Statistical Analysis of Shape Reconstruction from Areas of Amyn Poonawala,1
- UNIVERSITY OF CALIFORNIA ROBUST VISUAL RECOGNITION WITH LOCALLY ADAPTIVE
- Robust Multichannel Blind Deconvolution via Fast Alternating Minimization
- UNIVERSITY OF CALIFORNIA PATCH-BASED IMAGE DENOISING AND ITS PERFORMANCE LIMITS
- Patch-wise Ideal Stopping Time for Anisotropic Diffusion Hossein Talebi, and Peyman Milanfar*
- Computational Photography Using a Pair of Flash/No-flash Images by Iterative Guided Filtering
- Finding Saliency in Noisy Images Chelhwon Kim and Peyman Milanfar
- Removal of Haze and Noise from a Single Image Erik Matlin and Peyman Milanfar
