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Diffusion-Weighted Images Superresolution Using High-Order SVD
3. Experiments. In order to quantitatively evaluate the quality of the reconstruction, B-spline interpolation, which has been introduced for DWI resolution enhancement in the literature [21, 22], is used for comparison.In addition to this, a nonlocal approach for image SR [] is also involved as an effective nonlocal patch-based SR method for comparison purposes.
A wavelet-based super-resolution method for multi-slice MRI
In multi-slice magnetic resonance imaging (MRI), the resolution in the slice direction is usually reduced to allow faster acquisition times and to reduce the amount of noise in each 2D slice. To address this issue, a number of super resolution (SR) methods have been proposed to improve the resolution of 3D MRI volumes. Most of the methods involve the use of prior models of the MRI data as ......
Super-resolution CT Image Reconstruction Based on ...
Therefore, the utilization of super resolution (SR) based on dictionary learning and sparse representation is necessary to obtain high-resolution (HR) images and avoid excessive smoothing. In the image processing domain, recovery has always been a subject of intense study 5 , 6 .
Wavelet Domain Multidictionary Learning for Single Image ...
Image super-resolution (SR) aims at recovering the high-frequency (HF) details of a high-resolution (HR) image according to the given low-resolution (LR) image and some priors about natural images. Learning the relationship of the LR image and its corresponding HF details to guide the reconstruction of the HR image is needed. In order to alleviate the uncertainty in HF detail prediction, the ......
Facial image super-resolution guided by adaptive geometric ...
This paper addresses the traditional issue of restoring a high-resolution (HR) facial image from a low-resolution (LR) counterpart. Current state-of-the-art super-resolution (SR) methods commonly adopt the convolutional neural networks to learn a non-linear complex mapping between paired LR and HR images. They discriminate local patterns expressed by the neighboring pixels along the planar ......
Super-Resolution Reconstruction Algorithm To MODIS Remote ...
Therefore, super-resolution (SR) image reconstruction techniques, which can reconstruct one or a set of HR images from a sequence of low-resolution (LR) images of the same scene, have widely been researched in the last two decades. Multi-frame SR problem was first formulated by Tsai and Huang in the frequency domain. They proposed a formulation ......
A Total Variation Regularization Based Super-Resolution ...
Super-resolution (SR) reconstruction technique is capable of producing a high-resolution image from a sequence of low-resolution images. In this paper, we study an efficient SR algorithm for digital video. To effectively deal with the intractable problems in SR video reconstruction, such as inevitable motion estimation errors, noise, blurring, missing regions, and compression artifacts, the ......
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