| From rank estimation to rank approximation: Rank residual constraint for image restoration Z Zha, X Yuan, B Wen, J Zhou, J Zhang, C Zhu IEEE Transactions on Image Processing 29, 3254-3269, 2019 | 93 | 2019 |
| A benchmark for sparse coding: When group sparsity meets rank minimization Z Zha, X Yuan, B Wen, J Zhou, J Zhang, C Zhu IEEE Transactions on Image Processing 29, 5094-5109, 2020 | 92 | 2020 |
| Image restoration using joint patch-group-based sparse representation Z Zha, X Yuan, B Wen, J Zhang, J Zhou, C Zhu IEEE Transactions on Image Processing 29, 7735-7750, 2020 | 87 | 2020 |
| Improved denoising via Poisson mixture modeling of image sensor noise J Zhang, K Hirakawa IEEE Transactions on Image Processing 26 (4), 1565-1578, 2017 | 33 | 2017 |
| Pixel binning for high dynamic range color image sensor using square sampling lattice J Zhang, J Jia, A Sheng, K Hirakawa IEEE Transactions on Image Processing 27 (5), 2229-2241, 2018 | 11 | 2018 |
| Quantile analysis of image sensor noise distribution J Zhang, K Hirakawa, X Jin 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 10 | 2015 |
| A wavelet-GSM approach to demosaicking J Zhang, A Sheng, K Hirakawa IEEE Signal Processing Letters 25 (6), 778-782, 2018 | 6 | 2018 |
| Discriminative sparsity graph embedding for unconstrained face recognition Y Tong, J Zhang, R Chen Electronics 8 (5), 503, 2019 | 4 | 2019 |
Keigo HirakawaUniversity of DaytonVerified email at udayton.edu
