A flexible SIM reconstruction method capable to handle difficult data prone to reconstruction artifacts.
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Updated
Jul 16, 2024 - MATLAB
A flexible SIM reconstruction method capable to handle difficult data prone to reconstruction artifacts.
Software to process single-molecule and diffraction-limited polarisation camera image data.
All released versions of SIMToolbox MATLAB codes
Official MATLAB implementation of the "Sparse deconvolution" -v1.0.3
Single image super resolution algorithm RED+ADMM+De-QuIP
FSSBP: Fast Spatial–Spectral Back Projection Based on Pan-Sharpening Iterative Optimization
Provide a MATLAB GUI for image super resolution and video frame interpolation
Source code of SACD(Super-resolution with Auto-Correlation two-step Deconvolution)
tracking polymerization processes across a membrane through TIRF experiment data
Robust Single-Image Super-Resolution via CNNs and TV-TV Minimization (IEEE Transactions on Image Processing)
Code for the Journal of Imaging submission
Learning a Single Convolutional Super-Resolution Network for Multiple Degradations (CVPR, 2018) (Matlab)
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
A simple example to show inpainting missing columns or rows of a down-sampled OCT image through K-SVD dictionary learning and sparse representation methods.
Deep learning-based SR of 3D MRI by Regularly Spaced Shifting
A New Adaptive Video Super-Resolution Algorithm With Improved Robustness to Innovations
Image Super-Resolution Based on Gradient Profile Prior Using MATLAB [Jian Sun, Zongben Xu and Heung-Yeung Shum, "Image super-resolution using gradient profile prior," 2008 IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, 2008, pp. 1-8, doi: 10.1109/CVPR.2008.4587659.]
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