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Found 6 papers, 4 papers with code
A deep learning approach for marine snow synthesis and removal
Marine snow, the floating particles in underwater images, severely degrades the visibility and performance of human and machine vision systems.
Generative Adversarial Network
Image-to-Image Translation
+1
Brezinski Inverse and Geometric Product-Based Steffensen's Methods for Image Reverse Filtering
A comprehensive study of 108 variants of the vector Steffensen's methods is presented in the Supplementary Material.
Fast image reverse filters through fixed point and gradient descent acceleration
We study and re-develop state-of-the-art methods from two points of view, fixed point iteration and gradient descent.
Reverse image filtering using total derivative approximation and accelerated gradient descent
We formulate this inverse problem as minimizing a local patch-based cost function and use total derivative to approximate the gradient which is used in gradient descent to solve the problem.
A guided edge-aware smoothing-sharpening filter based on patch interpolation model and generalized Gamma distribution
In the external guidance case, we have developed new algorithms for combining flash and no-flash images and for enhancing multi-spectral images using a panchromatic image.
Single image deep defocus estimation and its applications
Depth information is useful in many image processing applications.
