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Viewing 1-7 of 7 total results
A novel multi-image super-resolution reconstruction method ...
A high-resolution image is obtained by fusing the information derived from blurred, sub-pixel shifted, and noisy low-resolution observations. In this paper, a novel regularization model based on an Anisotropic Fractional Order Adaptive (AFOA) norm is proposed and then we apply the AFOA model into the Super-Resolution Reconstruction technology....
A novel image decomposition-based hybrid technique with ...
Super-resolution based a hybrid technique for multi-focus image fusion is proposed. • Hybrid technique includes combining of SWT and PCA effectively. • Advantage of method, increasing the detail of images using super-resolution method. • Thanks to super-resolution, fused images get more information from source images. •...
Kernel regression for image processing and reconstruction ...
Super-resolution reconstruction proposes a fusion of several low-quality images into one higher quality result with better optical resolution. Classic super-resolution techniques strongly rely on the availability of accurate motion estimation for this fusion task. ... a patch-based, locally adaptive denoising method based on clustering the ......
Super‐resolution methods in MRI: Can they improve the ...
An interesting alternative is to use super‐resolution reconstruction (SRR) methods that combine acquisition strategy with post‐processing. SRR is the process of producing a high‐resolution (HR) image from a sequence of low‐resolution (LR) images, where each LR image transforms and samples the HR scene in a distinct fashion....
Iterative Algorithms Based on Decoupling of Deblurring and ...
The iterative algorithms are based on decoupling of deblurring and denoising steps in the restoration process. In the deblurring step, an efficient deblurring method using fast transforms can be employed. In the denoising step, effective methods such as the wavelet shrinkage denoising method or the total variation denoising method can be used....
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 ......
Multi-penalty conditional random field approach to super ...
The majority of these methods focus on image enhancement based on a single data acquisition, which include: (i) de-convolution methods [15, 16] that aim to reduce the effect of OCT PSF on the spatial resolution of acquired OCT image; (ii) different sampling methods in the K-space for the reconstruction of OCT images with higher spatial ...
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