Convex Latent-Optimized Adversarial Regularizers for Imaging Inverse Problems.
Huayu WangChen LuoTaofeng XieQiyu JinGuoqing ChenZhuo-Xu CuiDong LiangPublished in: CoRR (2023)
Keyphrases
- inverse problems
- convex optimization
- regularization methods
- total variation
- global optimization
- image reconstruction
- regularization method
- image processing
- emission tomography
- high resolution
- optimization methods
- image analysis
- image restoration
- image denoising
- optimization problems
- denoising
- linear combination
- partial differential equations
- computationally expensive
- spatially varying
- smoothness constraint
- computer vision