Results 261 to 270 of about 10,813,722 (307)

MambaOSR: Leveraging Spatial-Frequency Mamba for Distortion-Guided Omnidirectional Image Super-Resolution. [PDF]

Entropy (Basel)
Wen W, Zhao Q, Shao X.
europepmc   +1 more source

Gradient pooling distillation network for lightweight single image super-resolution reconstruction. [PDF]

PeerJ Comput Sci
Hong Z, Liang G, Xiong L.
europepmc   +1 more source

Image Super-Resolution Via Sparse Representation [PDF]

IEEE Transactions on Image Processing, 2010
This thesis presents a new approach to single-image super-resolution (SR), based on sparse signal recovery. Research on image statistics suggests that image patches can be well represented as a sparse linear combination of elements from an appropriately ...
John Wright, Jianchao Yang
exaly   +3 more sources

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Super-resolution inducing of an image

Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269), 2002
The problem of increasing the resolution of an image I/sub k/ is stated as an inverse problem of image reduction. The enlarged image must belong to the set of images which best approximates I/sub k/ after reducing. A projection of any image onto this set provides one of the possible enlarged images of I/sub k/.
Didier Calle, Annick Montanvert
openaire   +2 more sources

Super-Resolution Imaging and Plasmonics

Chemical Reviews, 2017
This review describes the growing partnership between super-resolution imaging and plasmonics, by describing the various ways in which the two topics mutually benefit one another to enhance our understanding of the nanoscale world. First, localization-based super-resolution imaging strategies, where molecules are modulated between emissive and ...
Katherine A. Willets, Andrew J. Wilson, Vignesh Sundaresan, Padmanabh B. Joshi   +3 more
openaire   +2 more sources

Scalable Super-Resolution Imaging

2006 IEEE International Conference on Systems, Man and Cybernetics, 2006
In this study, we have developed a novel method to obtain high resolution images using an ordinary digital camera. Using successively taken images, our fusion algorithm has a profound effect in the quality of the image which contains richer independent pixels than the originals do.
Evrim Ozcelik, S. Murat Yesiloglu, Osman Kaan Erol, Hakan Temeltas, Okyay Kaynak   +4 more
openaire   +1 more source

Super-resolution in PET imaging

IEEE Transactions on Medical Imaging, 2006
This paper demonstrates a super-resolution method for improving the resolution in clinical positron emission tomography (PET) scanners. Super-resolution images were obtained by combining four data sets with spatial shifts between consecutive acquisitions and applying an iterative algorithm.
John A. Kennedy, Ora Israel, Alex Frenkel, Rachel Bar-Shalom, Haim Azhari   +4 more
openaire   +2 more sources

Epitomic Image Super-Resolution

Proceedings of the AAAI Conference on Artificial Intelligence, 2016
We propose Epitomic Image Super-Resolution (ESR) to enhance the current internal SR methods that exploit the self-similarities in the input. Instead of local nearest neighbor patch matching used in most existing internal SR methods, ESR employs epitomic patch matching that features robustness to noise, and both local and non-local patch
Yingzhen Yang, Zhangyang Wang, Zhaowen Wang, Shiyu Chang, Ding Liu 0001, Honghui Shi, Thomas S. Huang   +6 more
openaire   +2 more sources

A survey on super-resolution imaging

Signal, Image and Video Processing, 2011
The key objective of super-resolution (SR) imaging is to reconstruct a higher-resolution image based on a set of images, acquired from the same scene and denoted as ‘low-resolution’ images, to overcome the limitation and/or ill-posed conditions of the image acquisition process for facilitating better content visualization and scene recognition. In this
Jing Tian 0002, Kai-Kuang Ma
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Super-Resolution in Medical Imaging

The Computer Journal, 2008
This paper provides an overview on super-resolution (SR) research in medical imaging applications. Many imaging modalities exist. Some provide anatomical information and reveal information about the structure of the human body, and others provide functional information, locations of activity for specific activities and specified tasks.
openaire   +1 more source