41 citations · 43 across the 5 of their papers we have counts for
5 papers
Brezinski Inverse and Geometric Product-Based Steffensen's Methods for Image Reverse Filtering
Guang Deng
This work develops extensions of Steffensen's method to provide new tools for solving the semi-blind image reverse filtering problem. Two extensions are presented: a parametric Ste…
Fast image reverse filters through fixed point and gradient descent acceleration
Fernando Galetto, Guang Deng
In this paper, we study the problem of reverse image filtering. An image filter denoted g(.), which is available as a black box, produces an observation b = g(x) when provided with…
Reverse image filtering using total derivative approximation and accelerated gradient descent
Fernando J. Galetto, Guang Deng
In this paper, we address a new problem of reversing the effect of an image filter, which can be linear or nonlinear. The assumption is that the algorithm of the filter is unknown…
A guided edge-aware smoothing-sharpening filter based on patch interpolation model and generalized Gamma distribution
Guang Deng, Fernando J. Galetto, Mukhalad Al-nasrawi +1
Smoothing and sharpening are two fundamental image processing operations. The latter is usually related to the former through the unsharp masking algorithm. In this paper, we devel…
Single image deep defocus estimation and its applications
Fernando J. Galetto, Guang Deng
Depth information is useful in many image processing applications. However, since taking a picture is a process of projection of a 3D scene onto a 2D imaging sensor, the depth info…