no code implementations • 6 Mar 2024 • Yu Guo, Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Qiyu Jin
In this letter, we propose a solution to both issues by combining a nonlocal algorithm with a lightweight residual CNN.
no code implementations • 6 Mar 2024 • Rina Su, Yu Guo, Caiying Wu, Qiyu Jin, Tieyong Zeng
The main objective of the Multiple Kernel k-Means (MKKM) algorithm is to extract non-linear information and achieve optimal clustering by optimizing base kernel matrices.
no code implementations • 24 Nov 2023 • Taofeng Xie, Zhuo-Xu Cui, Chen Luo, Huayu Wang, Congcong Liu, Yuanzhi Zhang, Xuemei Wang, Yanjie Zhu, Qiyu Jin, Guoqing Chen, Yihang Zhou, Dong Liang, Haifeng Wang
The complementary information can contribute to image reconstruction.
no code implementations • 21 Nov 2023 • Guoqing Liu, Yu Guo, Caiying Wu, Guoqing Chen, Barintag Saheya, Qiyu Jin
Skin lesion segmentation is of great significance for skin lesion analysis and subsequent treatment.
no code implementations • 24 Sep 2023 • Chen Luo, Huayu Wang, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang
However, most of these methods are tailored for supervised learning scenarios that necessitate fully sampled labels, which can pose challenges in practical MRI applications.
no code implementations • 17 Sep 2023 • Huayu Wang, Chen Luo, Taofeng Xie, Qiyu Jin, Guoqing Chen, Zhuo-Xu Cui, Dong Liang
We utilize it as a convex regularizer to formulate a CLEAR-informed variational regularization model that guides the solution of the imaging inverse problem on the real data manifold.
no code implementations • 6 May 2023 • Taofeng Xie, Chentao Cao, Zhuoxu Cui, Yu Guo, Caiying Wu, Xuemei Wang, Qingneng Li, Zhanli Hu, Tao Sun, Ziru Sang, Yihang Zhou, Yanjie Zhu, Dong Liang, Qiyu Jin, Guoqing Chen, Haifeng Wang
JPD of MRI and noise-added PET was learned in the diffusion process.
no code implementations • 20 Nov 2020 • Jing Guo, Shuping Wang, Chen Luo, Qiyu Jin, Michael Kwok-Po Ng
Local patch matching is to find similar patches in a large neighborhood which can alleviate noise effect, but the number of patches may be insufficient.
no code implementations • 20 Nov 2020 • Tingting Zhang, Jie Chen, Caiying Wu, Zhifei He, Tieyong Zeng, Qiyu Jin
In the proposed model, it detects the edges and then spatially adjusts the parameters of Tikhonov and TV regularization terms for each pixel according to the edge information.
no code implementations • 17 Nov 2020 • Zhigang Jia, Qiyu Jin, Michael K. Ng, XiLe Zhao
A new patch group based NSS prior scheme is proposed to learn explicit NSS models of natural color images.
no code implementations • 14 Sep 2020 • Yu Guo, Qiyu Jin, Gabriele Facciolo, Tieyong Zeng, Jean-Michel Morel
Image demosaicking and denoising are the first two key steps of the color image production pipeline.
no code implementations • 24 Apr 2020 • Qiyu Jin, Gabriele Facciolo, Jean-Michel Morel
In this paper, we review the main variants of these strategies and carry-out an extensive evaluation to find the best way to reconstruct full color images from a noisy mosaic.
no code implementations • 17 Sep 2013 • Qiyu Jin, Ion Grama, Quansheng Liu
A new image denoising algorithm to deal with the Poisson noise model is given, which is based on the idea of Non-Local Mean.