Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration
Image restoration is a long-standing problem in low-level computer vision with many
interesting applications. We describe a flexible learning framework based on the concept of …
interesting applications. We describe a flexible learning framework based on the concept of …
On learning optimized reaction diffusion processes for effective image restoration
For several decades, image restoration remains an active research topic in low-level
computer vision and hence new approaches are constantly emerging. However, many …
computer vision and hence new approaches are constantly emerging. However, many …
A behavioral handwriting model for static and dynamic signature synthesis
The synthetic generation of static handwritten signatures based on motor equivalence theory
has been recently proposed for biometric applications. Motor equivalence divides the …
has been recently proposed for biometric applications. Motor equivalence divides the …
Enhanced distance regularization for re-initialization free level set evolution with application to image segmentation
X Wang, J Shan, Y Niu, L Tan, SX Zhang - Neurocomputing, 2014 - Elsevier
In level set methods, the re-initialization remedy is widely applied to periodically replace the
degraded level set function (LSF) with a signed distance function to maintain its regularity …
degraded level set function (LSF) with a signed distance function to maintain its regularity …
An edge-adapting Laplacian kernel for nonlinear diffusion filters
MR Hajiaboli, MO Ahmad… - IEEE Transactions on …, 2011 - ieeexplore.ieee.org
In this paper, first, a new Laplacian kernel is developed to integrate into it the anisotropic
behavior to control the process of forward diffusion in horizontal and vertical directions. It is …
behavior to control the process of forward diffusion in horizontal and vertical directions. It is …
Image sharpening via Sobolev gradient flows
Motivated by some recent work in active contour applications, we study the use of Sobolev
gradients for PDE-based image diffusion and sharpening. We begin by studying, for the …
gradients for PDE-based image diffusion and sharpening. We begin by studying, for the …
A discrete theory and efficient algorithms for forward-and-backward diffusion filtering
Image enhancement with forward-and-backward (FAB) diffusion lacks a sound theory and is
numerically very challenging due to its diffusivities that are negative within a certain gradient …
numerically very challenging due to its diffusivities that are negative within a certain gradient …
On Backward p(x)-Parabolic Equations for Image Enhancement
G Baravdish, O Svensson, F Åström - … Functional Analysis and …, 2015 - Taylor & Francis
In this study, we investigate the backward p (x)-parabolic equation as a new methodology to
enhance images. We propose a novel iterative regularization procedure for the backward p …
enhance images. We propose a novel iterative regularization procedure for the backward p …
Enhanced total variation minimization for stable image reconstruction
The total variation (TV) regularization has phenomenally boosted various variational models
for image processing tasks. We propose to combine the backward diffusion process in the …
for image processing tasks. We propose to combine the backward diffusion process in the …
Novel schemes for hyperbolic pdes using osmosis filters from visual computing
K Hagenburg, M Breuß, J Weickert, O Vogel - … Gedi, Israel, May 29–June 2 …, 2012 - Springer
Recently a new class of generalised diffusion filters called osmosis filters has been
proposed. Osmosis models are useful for a variety of tasks in visual computing. In this paper …
proposed. Osmosis models are useful for a variety of tasks in visual computing. In this paper …