| Automatic parameter selection for denoising algorithms using a no-reference measure of image content X Zhu, P Milanfar IEEE transactions on image processing 19 (12), 3116-3132, 2010 | 494 | 2010 |
| Removing atmospheric turbulence via space-invariant deconvolution X Zhu, P Milanfar IEEE transactions on pattern analysis and machine intelligence 35 (1), 157-170, 2012 | 258 | 2012 |
| A no-reference sharpness metric sensitive to blur and noise X Zhu, P Milanfar 2009 international workshop on quality of multimedia experience, 64-69, 2009 | 212 | 2009 |
| Estimating spatially varying defocus blur from a single image X Zhu, S Cohen, S Schiller, P Milanfar IEEE Transactions on image processing 22 (12), 4879-4891, 2013 | 192 | 2013 |
| Image reconstruction from videos distorted by atmospheric turbulence X Zhu, P Milanfar Visual Information Processing and Communication 7543, 228-235, 2010 | 109 | 2010 |
| How to SAIF-ly boost denoising performance H Talebi, X Zhu, P Milanfar IEEE Transactions on image processing 22 (4), 1470-1485, 2012 | 103 | 2012 |
| Deconvolving PSFs for a better motion deblurring using multiple images X Zhu, F Šroubek, P Milanfar Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 79 | 2012 |
| Stabilizing and deblurring atmospheric turbulence X Zhu, P Milanfar 2011 IEEE International Conference on Computational Photography (ICCP), 1-8, 2011 | 58 | 2011 |
| Fast super-resolution for license plate image reconstruction J Yuan, S Du, X Zhu 2008 19th International Conference on Pattern Recognition, 1-4, 2008 | 40 | 2008 |
| System and method for estimating spatially varying defocus blur in a digital image SN Schiller, SD Cohen, X Zhu US Patent 8,885,941, 2014 | 38 | 2014 |
| Restoration for weakly blurred and strongly noisy images X Zhu, P Milanfar 2011 IEEE Workshop on Applications of Computer Vision (WACV), 103-109, 2011 | 34 | 2011 |
| A no-reference image content metric and its application to denoising X Zhu, P Milanfar 2010 IEEE International Conference on Image Processing, 1145-1148, 2010 | 18 | 2010 |
| Super-resolving commercial satellite imagery using realistic training data X Zhu, H Talebi, X Shi, F Yang, P Milanfar 2020 IEEE International Conference on Image Processing (ICIP), 498-502, 2020 | 15 | 2020 |
| Fast super-resolution reconstruction for video-based pattern recognition F Shi, J Yuan, X Zhu 2008 Fourth International Conference on Natural Computation 4, 135-139, 2008 | 15 | 2008 |
| Super-resolution reconstruction of image sequences compressed with DWT-based techniques Z Xiang, Y Jie, SD Du 2007 International Conference on Wavelet Analysis and Pattern Recognition 2 …, 2007 | 8 | 2007 |
| Measuring spatially varying blur and its application in digital image restoration X Zhu University of California, Santa Cruz, 2013 | 6 | 2013 |
| 基于 JPEG 序列的图像重建 朱翔， 袁杰， 都思丹 电子与信息学报 29 (8), 1841-1844, 2007 | 4 | 2007 |
| Qpro: An improved no-reference image content metric using locally adapted SVD X Zhu, P Milanfar Proceedings of Seventh international workshop on video processing and …, 2013 | 2 | 2013 |
| Spatially Varying Reduction of Haze in Images X Zhu, MA Duchaineau, Y Hu US Patent App. 18/469,144, 2024 | | 2024 |
Peyman MilanfarDistinguished Scientist, Google確認したメール アドレス: google.com
