Results 221 to 230 of about 225,507 (258)

Learning Deep Priors for Image Dehazing

2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019
Image 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 0119, Jinshan Pan, Jimmy S. J. Ren, Zhixun Su   +3 more
openaire   +1 more source

Medical Image Segmentation With Deep Atlas Prior

IEEE Transactions on Medical Imaging, 2021
Organ segmentation from medical images is one of the most important pre-processing steps in computer-aided diagnosis, but it is a challenging task because of limited annotated data, low-contrast and non-homogenous textures. Compared with natural images, organs in the medical images have obvious anatomical prior knowledge (e.g., organ shape and position)
Huimin Huang 0002, Han Zheng, Lanfen Lin, Ming Cai, Hongjie Hu, Qiaowei Zhang, Qingqing Chen 0001, Yutaro Iwamoto, Xianhua Han, Yen-Wei Chen 0001, Ruofeng Tong 0001   +10 more
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Learning deep edge prior for image denoising

Computer Vision and Image Understanding, 2020
Abstract Image restoration is an important technique to deal with the degradation of the image. This paper presents an efficient and trusty denoising scheme, which combines the convolutional neural network (CNN) technique with the traditional variational model, to offer interpretable and high quality reconstructions.
Yingying Fang, Tieyong Zeng
openaire   +1 more source

Image Restoration with Structured Deep Image Prior

2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), 2021
In this study, a novel image restoration method is proposed by introducing a structured convolutional neural network (CNN) in the deep image prior (DIP) framework. CNN has shown significance for image restoration as well as classification. DIP uses CNN structures as an image prior and shows a significant performance without explicit training of the ...
Jikai Li, Ruiki Kobayashi, Shogo Muramatsu, Gwanggil Jeon   +3 more
openaire   +1 more source

Deep CNN Prior Based Image Reconstruction for Multispectral Imaging

2020 28th Signal Processing and Communications Applications Conference (SIU), 2020
Spectral 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
Irfan Manisali, Refik Mert Çam, Can Deniz Bezek, Figen S. Oktem   +3 more
openaire   +2 more sources

A Deep Prior Approach to Magnetic Particle Imaging

2020
Magnetic particle imaging (MPI) is a tracer-based imaging modality with an increasing number of potential medical applications exploiting the nonlinear magnetization behavior of magnetic nanoparticles. The image reconstruction is obtained by solving an ill-posed inverse problem requiring regularization.
Sören Dittmer, Tobias Kluth, Daniel Otero Baguer, Peter Maass   +3 more
openaire   +1 more source

Image demosaicing using Deep Image Prior

Proceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers., 2023
The paper focuses on the problem of image demosaicingusing the deep image prior. The deep image prior (DIP)is an uncommon concept that uses a generative neural networkwhich, however, utilizes only the degraded image as the inputfor training. A novel method for image demosaicing is proposed,based on DIP, and it is compared with common demosaicingmethods.
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Deep image prior for polarization image demosaicking

2023 4th International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE), 2023
Yinxia Shi, Desheng Wen, Tuochi Jiang
openaire   +1 more source

Deep Image Denoising With Adaptive Priors

IEEE Transactions on Circuits and Systems for Video Technology, 2022
Bo Jiang 0017, Yao Lu 0008, Jiahuan Wang, Guangming Lu 0002, David Zhang 0001   +4 more
openaire   +1 more source

Boosting deep image prior by integrating external and internal image priors

Journal of Electronic Imaging, 2023
Shaoping Xu, Xiaohui Cheng 0002, Jie Luo, Xiaojun Chen, Nan Xiao   +4 more
openaire   +1 more source