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Enhanced PET imaging using progressive conditional deep image prior
Physics in Medicine & Biology, 2023Abstract Objective. Unsupervised learning-based methods have been proven to be an effective way to improve the image quality of positron emission tomography (PET) images when a large dataset is not available. However, when the gap between the input image and the target PET image is large, direct unsupervised learning ...
Jinming Li +6 more
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Deep CNN Prior Based Image Reconstruction for Multispectral Imaging
2020 28th Signal Processing and Communications Applications Conference (SIU), 2020Spectral imaging is a widely used diagnostic technique in various fields such as physics, chemistry, biology, medicine, astronomy, and remote sensing. In this work, we focus on a multi-spectral imaging technique with a diffractive lens, which relies on computational imaging, and we develop a novel image reconstruction method that exploits convolutional
Manisali, İrfan +3 more
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Learning Deep Priors for Image Dehazing
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019Image dehazing is a well-known ill-posed problem, which usually requires some image priors to make the problem well-posed. We propose an effective iteration algorithm with deep CNNs to learn haze-relevant priors for image dehazing. We formulate the image dehazing problem as the minimization of a variational model with favorable data fidelity terms and ...
Yang Liu +3 more
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Deep Random Projector: Accelerated Deep Image Prior
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023Taihui Li +3 more
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Structure-Texture Image Decomposition Using Deep Variational Priors
IEEE Transactions on Image Processing, 2019Most variational formulations for structure-texture image decomposition force structure images to have small norm in some functional spaces, and share a common notion of edges, i.e., large-gradients or -intensity differences. However, such definition makes it difficult to distinguish structure edges from oscillations that have fine spatial scale but ...
Youngjung Kim +3 more
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Deep image prior for polarization image demosaicking
2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE), 2023Yinxia Shi, Desheng Wen, Tuochi Jiang
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Boosting deep image prior by integrating external and internal image priors
Journal of Electronic Imaging, 2023Shaoping Xu +4 more
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Plug-and-Play Image Restoration With Deep Denoiser Prior
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022Kai Zhang, Yawei Li, Wang-Meng Zuo
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Hyperspectral Image Denoising via Tensor Low-Rank Prior and Unsupervised Deep Spatial–Spectral Prior
IEEE Transactions on Geoscience and Remote Sensing, 2022Wei-Hao Wu, Ting-Zhu Huang, Xi-Le Zhao
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Deep Image Denoising With Adaptive Priors
IEEE Transactions on Circuits and Systems for Video Technology, 2022Bo Jiang +4 more
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