Reducing the blurring noise of text images by Convolutional Neural Networks
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Updated
Jan 8, 2019 - Python
Reducing the blurring noise of text images by Convolutional Neural Networks
Implementing deblurGAN with modification using jupyter notebook
Python implementation of and experiments with the Stroke Width Transformation and connected components filtering.
Dynamic Scene Deblurring with Parameter Selective Sharing and Nested Skip Connections
Implementation of "Unsupervised Domain-Specific Deblurring via Disentangled Representations"
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
Deblur is a greedy deconvolution algorithm based on known read error profiles.
Spatially-Varying Blur Detection Based on Multiscale Fused and Sorted Transform Coefficients of Gradient Magnitudes
A playground implementing Epshtein, Ofek, and Wexler's Stroke Width Transform
Image deblur is basically realized using Python, which based on methods desvribed by the paper "Image deblurring with blurred/noisy image pairs." Yuan etc,
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models
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