inverse-imaging-problems

Here are 5 public repositories matching this topic...

Guaishou74851 / SCNet

(IJCV 2024) Self-Supervised Scalable Deep Compressed Sensing [PyTorch]

deep-neural-networks deep-learning compressed-sensing image-reconstruction convolutional-neural-networks compressive-sensing self-supervised-learning deep-unfolding deep-unrolling deep-unfolding-model compressive-sampling inverse-imaging-problems

Updated Mar 9, 2025
Python

mkhateri / Awesome-MRI-Super-Resolution

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MRI Super-Resolution with Deep Learning: A Comprehensive Survey

Updated Apr 27, 2026

mkhateri / EMSR

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Super-resolution of 3D electron microscopy images using deep learning, enabling high-quality reconstruction of large-scale 3D EM volumes across large brain fields of view.

neuroscience electron-microscopy super-resolution biomedical biomedical-image-processing computational-imaging computational-neuroimaging super-resolution-image inverse-imaging-problems

Updated Jan 8, 2026
Python

Akbar-0 / computational-lithography

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The project implements state-of-the-art computational lithography algorithms used in semiconductor manufacturing, complete with educational documentation and working examples!

inverse-imaging-problems inverse-lithography-technology optical-proximity-correction hopkins-imaging-model process-window depth-of-focus exposure-latitude normalized-image-log-slope resolution-enhancement-techniques bossung-curve