Diffusion-driven Regularization Functional
This is a regularizing functional based on the nonlinear diffusion processes, and can be used to address the ill-posedness of a classical multiframe super-resolution model. The function should be called by another function (in our case, it is the ANDIFFSR function) that super-resolves an image. Please see the function ANDIFFSR for more details on how to call this function. The corresponding paper, entitled "A Noise-Suppressing and Edge-Preserving Multi-Frame Super-Resolution Image Reconstruction Method", has been submitted to the Journal of Signal Processing: Image Communication (Manuscript ID: image3133) and is in its second revision.
Citation pour cette source
Baraka Maiseli (2024). Diffusion-driven Regularization Functional (https://www.mathworks.com/matlabcentral/fileexchange/49140-diffusion-driven-regularization-functional), MATLAB Central File Exchange. Extrait(e) le .
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- Image Processing and Computer Vision > Image Processing Toolbox > Image Filtering and Enhancement > Deblurring >
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Version | Publié le | Notes de version | |
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1.2.0.0 | In the section "Other Requirements", I have replaced "regularizeSR" by "ANDIFFSR"--It is the function ANDIFFSR that calls the function regularizeSR. |
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1.1.0.0 | Added some more descriptions on the file |
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1.0.0.0 |