Robust multiframe super-resolution employing iteratively re-weighted minimization
Multiframe super-resolution algorithms reconstruct high-resolution images by exploiting
complementary information in multiple low-resolution frames. However, despite their …
complementary information in multiple low-resolution frames. However, despite their …
单幅图像超分辨重建的深度学习方法综述.
张德， 林青宇， 郭茂祖 - Journal of Computer Engineering & …, 2021 - search.ebscohost.com
图像超分辨重建(Super-Resolution, SR) 是指利用信号处理和机器学习等方法,
从单幅或者多幅低分辨率图像(Low Resolution, LR) 中重建对应的高分辨率图像(High …
从单幅或者多幅低分辨率图像(Low Resolution, LR) 中重建对应的高分辨率图像(High …
Simulation of reconstruction based on the system matrix for magnetic particle imaging
Magnetic particle imaging (MPI) is a new tomographic imaging modality which images the
distribution of the superparamagnetic iron oxide nanoparticles (SPIONs) based on its non …
distribution of the superparamagnetic iron oxide nanoparticles (SPIONs) based on its non …
Confidence-aware levenberg-marquardt optimization for joint motion estimation and super-resolution
Motion estimation across low-resolution frames and the reconstruction of high-resolution
images are two coupled subproblems of multi-frame super-resolution. This paper introduces …
images are two coupled subproblems of multi-frame super-resolution. This paper introduces …
Single-image Super-resolution Based on Generative Adversarial Network with Dual Attention Mechanism
M Xu, Y Ding - 2022 IEEE 5th Advanced Information …, 2022 - ieeexplore.ieee.org
Most of the single-image (SI) super-resolution (SR) methods based on convolutional neural
network (CNN) focus on the broader or deeper model architecture design, ignoring the …
network (CNN) focus on the broader or deeper model architecture design, ignoring the …
Adaptive image super-resolution via controlled weighting coefficients of a maximum-a-posteriori estimator
M Mofidi, H Hajghassem, A Afifi - Journal of Electronic Imaging, 2018 - spiedigitallibrary.org
Enhancing the spatial resolution of images has always been a hotspot in digital imaging. An
adaptive multiframe image super-resolution (SR) algorithm has been proposed, which …
adaptive multiframe image super-resolution (SR) algorithm has been proposed, which …
[PDF][PDF] Robust Multiframe Super-Resolution Employing Iteratively Re-Weighted Minimization
J Hornegger - informatik.uni-erlangen.de
Multiframe super-resolution algorithms reconstruct high-resolution images by exploiting
complementary information in multiple low-resolution frames. However, despite their …
complementary information in multiple low-resolution frames. However, despite their …