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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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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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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 Overview of Image Super-Resolution Reconstruction Algorithm
2018 11th International Symposium on Computational Intelligence and Design (ISCID), 2018Super-resolution image reconstruction refers to the reconstruction of a clear (or multiple) high-resolution image from a low-resolution degraded image (or image sequence) of the same scene. This technology has become a research hotspot in the field of image processing. However, it is difficult to break through the traditional method.
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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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Reconstruction and super-resolution of dilute aperture imagery
Proceedings of 3rd IEEE International Conference on Image Processing, 2002Improving the resolving power of diffraction-limited imaging devices has most often been accomplished with costly increases in the size of the imaging aperture. To minimize cost and construction difficulty yet still improve image resolution we use a dilute aperture imaging system followed by post-processing with the Poisson maximum a-posteriori (PMAP ...
Casey Miller +3 more
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Super-resolution image reconstruction for mobile devices
Multimedia Systems, 2012With advanced mobile devices, the mobile applications of the high-definition display attract a lot of attentions nowadays. The existing image super-resolution methods are computationally inefficient for the high-definition display on the mobile devices.
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Context based super resolution image reconstruction
2009 International Workshop on Local and Non-Local Approximation in Image Processing, 2009In this paper a context based super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator identifies local gradients and textures for selecting the optimal SR method for the region of interest. Texture segmentation and gradient map estimation are done prior to the reconstruction stage. Gradient
Turgay, Emre, Akar, Gözde
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Super-Resolution Reconstruction of Radio Tomographic Image
2016 IEEE 83rd Vehicular Technology Conference (VTC Spring), 2016To improve the resolution of radio tomographic image and get more details of the target, this paper introduces nonuniform interpolation, projection onto convex sets and structure-adaptive normalized convolution approaches for image reconstruction from a series of radio tomographic images.
Cheng Sun 0005, Fei Gao, Heng Liu 0001
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A super-resolution reconstruction algorithm for surveillance images
Signal Processing, 2010zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liangpei Zhang 0001 +3 more
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