CurvPnP: Plug-and-play blind image restoration with deep curvature denoiser

发布时间：2022-11-30 作者：浏览次数：

Speaker:	段玉萍	DateTime:	2022年12月6日（星期二）上午11：00--12：00
Brief Introduction to Speaker: 段玉萍，教授，天津大学		Place:	腾讯会议（892873849）
Abstract:Due to the development of deep learning-based denoisers, the plug-and-play strategy has achieved great success in image restoration problems. However, existing plug-and-play image restoration methods are designed for non-blind Gaussian denoising, the performance of which visibly deteriorate for unknown noises. To push the limits of plug-and-play image restoration, we propose a novel framework with blind Gaussian prior, which can deal with more complicated image restoration problems in the real world. The experimental results on image denoising, deblurring and single-image super-resolution are provided to demonstrate the advantages of our deep curvature denoiser and the resulting plug-and-play blind image restoration method over the state-of-the-art model-based and learning-based methods. Our model is shown to be able to recover the fine image details and tiny structures even when the noise level is unknown for different image restoration tasks.

100元2小时不限次数电话号码,全国空降200元快餐联系方式,24小时微信快餐妹,全国同城约资源匹配系统