EliaFantini/Image-Reconstructor-FISTA-proximal-method-on-wavelets-transform
An Image Reconstructor that applies fast proximal gradient method (FISTA) to the wavelet transform of an image using L1 and Total Variation (TV) regularizations
This tool helps reconstruct images that have missing pixels or appear damaged. You input a degraded image, and it outputs a clearer, restored version by intelligently filling in the gaps. It's designed for researchers or practitioners in image processing and computer vision who need to recover visual information.
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Use this if you need to restore or 'denoise' images that have lost information, such as randomly removed pixels, and want to evaluate different reconstruction methods.
Not ideal if you're looking for a simple, off-the-shelf image enhancement tool with a graphical interface for general photo editing.
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Python
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Last pushed
Sep 25, 2022
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