| Is denoising dead? P Chatterjee, P Milanfar Image Processing, IEEE Transactions on 19 (4), 895-911, 2010 | 592 | 2010 |
| Clustering-based denoising with locally learned dictionaries P Chatterjee, P Milanfar IEEE transactions on Image Processing 18 (7), 1438-1451, 2009 | 392 | 2009 |
| Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies K Venkataraman, S Nisenzon, P Chatterjee, G Molina US Patent 9,519,972, 2016 | 388 | 2016 |
| Patch-based near-optimal image denoising P Chatterjee, P Milanfar IEEE Transactions on Image Processing 21 (4), 1635-1649, 2011 | 382 | 2011 |
| PiCam an ultra-thin high performance monolithic camera array K Venkataraman, D Lelescu, J Duparré, A McMahon, G Molina, ... ACM Transactions on Graphics (TOG) 32 (6), 1-13, 2013 | 329 | 2013 |
| Systems and methods for determining depth from multiple views of a scene that include aliasing using hypothesized fusion P Chatterjee, G Molina, D Lelescu US Patent App. 13/623,091, 2013 | 244 | 2013 |
| System and methods for depth regularization and semiautomatic interactive matting using RGB-D images M Srikanth, R Ramamoorthi, K Venkataraman, P Chatterjee US Patent 10,089,740, 2018 | 134 | 2018 |
| Systems and methods for synthesizing images from image data captured by an array camera using restricted depth of field depth maps in which depth estimation precision varies K Venkataraman, S Nisenzon, P Chatterjee, G Molina US Patent 9,800,856, 2017 | 128 | 2017 |
| Efficient segmentation: Learning downsampling near semantic boundaries D Marin, Z He, P Vajda, P Chatterjee, S Tsai, F Yang, Y Boykov Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 104 | 2019 |
| System and methods for depth regularization and semiautomatic interactive matting using RGB-D images M Srikanth, R Ramamoorthi, K Venkataraman, P Chatterjee US Patent 10,574,905, 2020 | 89 | 2020 |
| Practical bounds on image denoising: From estimation to information P Chatterjee, P Milanfar IEEE Transactions on Image Processing 20 (5), 1221-1233, 2010 | 80 | 2010 |
| Application of Papoulis–Gerchberg method in image super-resolution and inpainting P Chatterjee, S Mukherjee, S Chaudhuri, G Seetharaman The computer journal 52 (1), 80-89, 2009 | 80 | 2009 |
| Noise suppression in low-light images through joint denoising and demosaicing P Chatterjee, N Joshi, SB Kang, Y Matsushita CVPR 2011, 321-328, 2011 | 76 | 2011 |
| A generalization of non-local means via kernel regression P Chatterjee, P Milanfar Computational imaging VI 6814, 167-175, 2008 | 58 | 2008 |
| Single frame image super-resolution: should we process locally or globally? CV Jiji, S Chaudhuri, P Chatterjee Multidimensional Systems and Signal Processing 18, 123-152, 2007 | 41 | 2007 |
| Systems and methods for hybrid depth regularization A Jain, P Chatterjee, K Venkataraman US Patent 10,482,618, 2019 | 36 | 2019 |
| Systems and methods for performing high speed video capture and depth estimation using array cameras K Venkataraman, Y Huang, AK Jain, P Chatterjee US Patent 9,942,474, 2018 | 36 | 2018 |
| Systems and methods for dynamic calibration of array cameras F Ciurea, D Lelescu, P Chatterjee US Patent 10,944,961, 2021 | 34 | 2021 |
| Systems and methods for hybrid depth regularization A Jain, P Chatterjee, K Venkataraman US Patent 10,818,026, 2020 | 23 | 2020 |
| A comparison of some state of the art image denoising methods HJ Seo, P Chatterjee, H Takeda, P Milanfar 2007 Conference Record of the Forty-First Asilomar Conference on Signals …, 2007 | 23 | 2007 |
Peyman MilanfarDistinguished Scientist, GoogleVerified email at google.com
