Associative Memory for Image Recovery with a HighâPerformance Memristor Array
Sign Up to like & getrecommendations! Published in 2019 at "Advanced Functional Materials"
DOI: 10.1002/adfm.201900155
Abstract: Associative memory is one of the significant characteristics of the biological brain. However, it has yet to be realized in a large memristor array due to the high requirements on the memristor device. In this… read more here.
Keywords: memristor array; associative memory; image recovery; memristor ... See more keywords
Progressively Volumetrized Deep Generative Models for Data-Efficient Contextual Learning of MR Image Recovery
Sign Up to like & getrecommendations! Published in 2022 at "Medical image analysis"
DOI: 10.1016/j.media.2022.102429
Abstract: Magnetic resonance imaging (MRI) offers the flexibility to image a given anatomic volume under a multitude of tissue contrasts. Yet, scan time considerations put stringent limits on the quality and diversity of MRI data. The… read more here.
Keywords: image recovery; progressively volumetrized; image; generative models ... See more keywords
Polarimetric underwater image recovery via deep learning
Sign Up to like & getrecommendations! Published in 2020 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2020.106152
Abstract: Abstract Polarimetric imaging is an effective way for clear vision in water, in which deducing the object radiance in clear water from the obtained polarimetric information in turbid water is essential. In this letter, we… read more here.
Keywords: image; polarimetric underwater; image recovery; water ... See more keywords
On the convergence of general projection methods for solving convex feasibility problems with applications to the inverse problem of image recovery
Sign Up to like & getrecommendations! Published in 2018 at "Optimization"
DOI: 10.1080/02331934.2018.1474355
Abstract: Abstract For an arbitrary family of closed convex sets with nonempty intersection in a Hilbert space, we consider the classical convex feasibility problem. We study the convergence property of the recently introduced unified projection algorithm… read more here.
Keywords: problem image; convex feasibility; image recovery; inverse problem ... See more keywords
Image recovery from unknown network mechanisms for DNA sequencing-based microscopy
Sign Up to like & getrecommendations! Published in 2022 at "Nanoscale"
DOI: 10.1101/2022.09.29.510142
Abstract: Imaging-by-sequencing methods are an emerging alternative to conventional optical micro- or nanoscale imaging. In these methods, molecular networks form through proximity-dependent association between DNA molecules carrying random sequence identifiers. DNA strands record pairwise associations such… read more here.
Keywords: network; network mechanisms; microscopy; recovery unknown ... See more keywords
Underwater Image Recovery Using Structured Light
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2922348
Abstract: Structured lighting techniques have increasingly been employed in underwater imaging. Except for the limitation in underwater illumination, the desire of underwater image acquisition comes from the applicability of removal of the back scattered light, the… read more here.
Keywords: image recovery; using structured; image; underwater image ... See more keywords
Underwater image recovery utilizing polarimetric imaging based on neural networks.
Sign Up to like & getrecommendations! Published in 2021 at "Applied optics"
DOI: 10.1364/ao.431299
Abstract: Underwater imaging faces challenges due to complex optical properties in water. Our purpose is to explore the application of polarimetric imaging in image recovery under turbid water based on deep learning. A polarization camera is… read more here.
Keywords: water; image recovery; model; polarimetric imaging ... See more keywords
Polarimetric image recovery in turbid media employing circularly polarized light.
Sign Up to like & getrecommendations! Published in 2018 at "Optics express"
DOI: 10.1364/oe.26.025047
Abstract: Circular polarization memory is a well-known phenomenon indicating that the circular polarization light can persist better its polarization property during propagating through turbid media compared with the linear polarization light. Therefore, in principle, using circularly… read more here.
Keywords: image recovery; polarized light; turbid media; polarization ... See more keywords
Image recovery of ghost imaging with sparse spatial frequencies.
Sign Up to like & getrecommendations! Published in 2020 at "Optics letters"
DOI: 10.1364/ol.403288
Abstract: When the spatial frequencies of the object are insufficiently sampled, the reconstruction of ghost imaging will suffer from repetitive visual artifacts, which cannot be effectively tackled by existing ghost imaging reconstruction techniques. In this Letter,… read more here.
Keywords: ghost; spatial frequencies; image recovery; imaging sparse ... See more keywords
A Fragile Watermark Scheme for Image Recovery Based on Singular Value Decomposition, Edge Detection and Median Filter
Sign Up to like & getrecommendations! Published in 2019 at "Applied Sciences"
DOI: 10.3390/app9153020
Abstract: Many fragile watermark methods have been proposed for image recovery and their performance has been greatly improved. However, jagged edges and confusion still exist in the restored areas and these problems need to be solved… read more here.
Keywords: image recovery; median filter; image; recovery ... See more keywords