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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 ...
Wai-Ki Ching +3 more
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Super-Resolution Image Reconstruction: A Technical Overview
IEEE Signal Processing Magazine, 2003A new approach toward increasing spatial resolution is required to overcome the limitations of the sensors and optics manufacturing technology. One promising approach is to use signal processing techniques to obtain an high-resolution (HR) image (or sequence) from observed multiple low-resolution (LR) images.
Moon Gi Kang, Min Kyu Park
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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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Super-resolution reconstruction of an image
Proceedings of 19th Convention of Electrical and Electronics Engineers in Israel, 2002This paper presents a generalization of restoration theory for the problem of super-resolution reconstruction (SRR) of an image. In the SRR problem, a set of low quality images is given, and a single improved quality image which fuses their information is required.
M. Elad, A. Feuer
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Improved Super-Resolution Reconstruction From Video
IEEE Transactions on Circuits and Systems for Video Technology, 2006Super-resolution (SR) reconstruction usually consists of four steps: registration, interpolation, restoration, and postprocessing. The registration precision (RP) and the initial SR image estimation (ISIE) greatly influence the quality of reconstructed images. A scheme to enhance RP and ISIE is proposed in this paper.
Ci Wang, Ping Xue 0001, Weisi Lin
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A super-resolution reconstruction algorithm for hyperspectral images
Signal Processing, 2012The spatial resolution of a hyperspectral image is often coarse because of the limitations of the imaging hardware. Super-resolution reconstruction (SRR) is a promising signal post-processing technique for hyperspectral image resolution enhancement.
Hongyan Zhang 0001 +2 more
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Evolving imaging model for super-resolution reconstruction
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018Super-resolution reconstruction (SRR) allows for enhancing image spatial resolution from low-resolution (LR) observations, which are assumed to have been derived from a hypothetical high-resolution image by applying a certain imaging model (IM). However, if the actual degradation is different from the assumed IM, which is often the case in real-world ...
Michal Kawulok +3 more
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Image acquisition modeling for super-resolution reconstruction
IEEE International Conference on Image Processing 2005, 2005Super-resolution reconstruction is the process of reconstructing a high-resolution image from multiple low-resolution images. Most super-resolution reconstruction methods neglect camera response function, exposure time, white balancing, and external illumination changes.
Murat Gevrekci, Bahadir K. Gunturk
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An Improved Super-Resolution Source Reconstruction Method
IEEE Transactions on Instrumentation and Measurement, 2009The source reconstruction method (SRM) is a technique developed for antenna diagnostics and for carrying out near-field (NF) to far-field (FF) transformation. The SRM is based on the application of the electromagnetic equivalence principle, in which one establishes an equivalent current distribution that radiates the same fields as the actual currents ...
Yuri Alvarez Lopez +3 more
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Confidence map based super-resolution reconstruction
SPIE Proceedings, 2012Magnetic Resonance Imaging and Computed Tomography usually provide highly anisotropic image data, so that the resolution in the slice-selection direction is poorer than in the in-plane directions. An isotropic high-resolution image can be reconstructed from two orthogonal scans of the same object.
Wissam El Hakimi, Stefan Wesarg
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