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Super-resolution acoustic imaging
Applied Physics Letters, 2022This work reports a super-resolution acoustic imaging method that inverses source distribution, strength, and structure in three-dimensional space. The nonlinear coupling process between a low-frequency sound field and a high-frequency plane wave is endowed to break the resolution limit.
Wangqiao Chen, Hanbo Jiang, Xun Huang
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Super-Resolution Imaging and Plasmonics
Chemical Reviews, 2017This 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 +3 more
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Super-resolution in PET imaging
IEEE Transactions on Medical Imaging, 2006This 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 +4 more
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Super‐resolution image reconstruction using multisensors
Numerical Linear Algebra with Applications, 2004AbstractSuper‐resolution image reconstruction refers to obtaining an image at a resolution higher than that of a camera (sensor) used in recording the image. In this paper, we present a new joint minimization model in which an objective function is set up consisting of three terms: the data fitting term, the regularization terms for the reconstructed ...
Ng, MK, Yau, AC, Sze, KN, Ching, WK
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Image Super-Resolution Via Sparse Representation
IEEE Transactions on Image Processing, 2010This paper presents a new approach to single-image super-resolution, based on sparse signal representation. Research on image statistics suggests that image patches can be well-represented as a sparse linear combination of elements from an appropriately chosen over-complete dictionary.
Yang, Jianchao +3 more
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Zernike-Moment-Based Image Super Resolution
IEEE Transactions on Image Processing, 2011Multiframe super-resolution (SR) reconstruction aims to produce a high-resolution (HR) image using a set of low-resolution (LR) images. In the process of reconstruction, fuzzy registration usually plays a critical role. It mainly focuses on the correlation between pixels of the candidate and the reference images to reconstruct each pixel by averaging ...
Gao, Xinbo +4 more
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Compressive image super-resolution
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009This paper proposes a new algorithm to generate a super-resolution image from a single, low-resolution input without the use of a training data set. We do this by exploiting the fact that the image is highly compressible in the wavelet domain and leverage recent results of compressed sensing (CS) theory to make an accurate estimate of the original high-
Pradeep Sen, Soheil Darabi
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Super-resolution image reconstruction
2010 International Conference on Computer Application and System Modeling (ICCASM 2010), 2010Super-resolution image reconstruction is a technique to reconstruct high resolution image or video from a sequence of low resolution images. The super resolution method is summarized in this paper. The frequency domain method, non-uniform interpolation, POCS method, iterative back projection method, Bayesian approach, regularization method are both ...
null Xue-fen Wan, null Yi Yang
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Scalable Super-Resolution Imaging
2006 IEEE International Conference on Systems, Man and Cybernetics, 2006In 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 +4 more
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