Masked Joint Bilateral Filtering via Deep Image Prior for Digital X-Ray Image Denoising
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2022.3179652
Abstract: Medical image denoising faces great challenges. Although deep learning methods have shown great potential, their efficiency is severely affected by millions of trainable parameters. The non-linearity of neural networks also makes them difficult to be… read more here.
Keywords: filtering; image denoising; joint bilateral; deep image ... See more keywords
Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2021.3111404
Abstract: Recently, deep learning-based methods are proposed for hyperspectral images (HSIs) denoising. Among them, unsupervised methods such as deep image prior (DIP)-based methods have received much attention because these methods do not require any training data.… read more here.
Keywords: based methods; image prior; deep image; dip based ... See more keywords
Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3187722
Abstract: This article considers the inverse problem under hyperspectral images (HSIs) denoising framework. Recently, it has been shown that deep learning is a promising approach to image denoising. However, deep learning to be effective usually needs… read more here.
Keywords: favorable distribution; least favorable; deep image; image prior ... See more keywords
UnDIP: Hyperspectral Unmixing Using Deep Image Prior
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3067802
Abstract: In this article, we introduce a deep learning-based technique for the linear hyperspectral unmixing problem. The proposed method contains two main steps. First, the endmembers are extracted using a geometric endmember extraction method, i.e., a… read more here.
Keywords: hyperspectral unmixing; image prior; deep image; using deep ... See more keywords
DeepEIT: Deep Image Prior Enabled Electrical Impedance Tomography.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3240565
Abstract: Neural networks (NNs) have been widely applied in tomographic imaging through data-driven training and image processing. One of the main challenges in using NNs in real medical imaging is the requirement of massive amounts of… read more here.
Keywords: electrical impedance; impedance tomography; deep image; image prior ... See more keywords
Speckle Reduction via Deep Content-Aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control"
DOI: 10.1109/tuffc.2022.3193640
Abstract: The performance of computer-aided diagnosis (CAD) systems that are based on ultrasound imaging has been enhanced owing to the advancement in deep learning. However, because of the inherent speckle noise in ultrasound images, the ambiguous… read more here.
Keywords: content aware; ultrasound images; segmentation; content ... See more keywords
Blind Poissonian Image Deblurring Regularized by a Denoiser Constraint and Deep Image Prior
Sign Up to like & getrecommendations! Published in 2020 at "Mathematical Problems in Engineering"
DOI: 10.1155/2020/9483521
Abstract: The denoising and deblurring of Poisson images are opposite inverse problems. Single image deblurring methods are sensitive to image noise. A single noise filter can effectively remove noise in advance, but it also damages blurred… read more here.
Keywords: image prior; image; deep image; image deblurring ... See more keywords