| Single-image noise level estimation for blind denoising X Liu, M Tanaka, M Okutomi IEEE transactions on image processing 22 (12), 5226-5237, 2013 | 478 | 2013 |
| Noise level estimation using weak textured patches of a single noisy image X Liu, M Tanaka, M Okutomi 2012 19th IEEE International Conference on Image Processing, 665-668, 2012 | 264 | 2012 |
| Unsupervised learning of image segmentation based on differentiable feature clustering W Kim, A Kanezaki, M Tanaka IEEE Transactions on Image Processing 29, 8055-8068, 2020 | 213 | 2020 |
| Residual interpolation for color image demosaicking D Kiku, Y Monno, M Tanaka, M Okutomi 2013 IEEE international conference on image processing, 2304-2308, 2013 | 181 | 2013 |
| A practical one-shot multispectral imaging system using a single image sensor Y Monno, S Kikuchi, M Tanaka, M Okutomi IEEE Transactions on Image Processing 24 (10), 3048-3059, 2015 | 161 | 2015 |
| Beyond color difference: Residual interpolation for color image demosaicking D Kiku, Y Monno, M Tanaka, M Okutomi IEEE Transactions on Image Processing 25 (3), 1288-1300, 2016 | 158 | 2016 |
| Minimized-Laplacian residual interpolation for color image demosaicking D Kiku, Y Monno, M Tanaka, M Okutomi Digital Photography X 9023, 197-204, 2014 | 136 | 2014 |
| A novel inference of a restricted boltzmann machine M Tanaka, M Okutomi 2014 22nd International Conference on Pattern Recognition, 1526-1531, 2014 | 133 | 2014 |
| Practical signal-dependent noise parameter estimation from a single noisy image X Liu, M Tanaka, M Okutomi IEEE Transactions on Image Processing 23 (10), 4361-4371, 2014 | 119 | 2014 |
| Super-resolution from image sequence under influence of hot-air optical turbulence M Shimizu, S Yoshimura, M Tanaka, M Okutomi 2008 IEEE Conference on Computer Vision and Pattern Recognition, 1-8, 2008 | 103 | 2008 |
| Multispectral demosaicking using adaptive kernel upsampling Y Monno, M Tanaka, M Okutomi 2011 18th IEEE International Conference on Image Processing, 3157-3160, 2011 | 90 | 2011 |
| Multispectral demosaicking using guided filter Y Monno, M Tanaka, M Okutomi Digital Photography VIII 8299, 204-210, 2012 | 82 | 2012 |
| Adaptive residual interpolation for color and multispectral image demosaicking Y Monno, D Kiku, M Tanaka, M Okutomi Sensors 17 (12), 2787, 2017 | 76 | 2017 |
| Adaptive residual interpolation for color image demosaicking Y Monno, D Kiku, M Tanaka, M Okutomi 2015 IEEE International Conference on Image Processing (ICIP), 3861-3865, 2015 | 72 | 2015 |
| To be Bernoulli or to be Gaussian, for a restricted Boltzmann machine T Yamashita, M Tanaka, E Yoshida, Y Yamauchi, H Fujiyoshii 2014 22nd International Conference on Pattern Recognition, 1520-1525, 2014 | 69 | 2014 |
| Single-sensor RGB-NIR imaging: High-quality system design and prototype implementation Y Monno, H Teranaka, K Yoshizaki, M Tanaka, M Okutomi IEEE Sensors Journal 19 (2), 497-507, 2018 | 67 | 2018 |
| Motion blur parameter identification from a linearly blurred image M Tanaka, K Yoneji, M Okutomi 2007 Digest of Technical Papers International Conference on Consumer …, 2007 | 64 | 2007 |
| Seamless image cloning by a closed form solution of a modified poisson problem M Tanaka, R Kamio, M Okutomi SIGGRAPH Asia 2012 Posters, 1-1, 2012 | 63 | 2012 |
| Weighted sigmoid gate unit for an activation function of deep neural network M Tanaka Pattern Recognition Letters 135, 354-359, 2020 | 60 | 2020 |
| Gradient-domain image reconstruction framework with intensity-range and base-structure constraints T Shibata, M Tanaka, M Okutomi Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 60 | 2016 |
Masatoshi OkutomiTokyo Institute of TechnologyDirección de correo verificada de ctrl.titech.ac.jp
