Information
- Publication Type: Journal Paper (without talk)
- Workgroup(s)/Project(s): not specified
- Date: August 2010
- Journal: Signal, Image and Video Processing
- Note: In press
- Keywords: Super-resolution, Regularization, Total variation, Fourth order PDE, Complex diffusion, Linear structure tensor
Abstract
The main aim of this paper is to employ an improved regularization method to super-resolution problems. Super-resolution refers to a process that increases spatial resolution by fusing information from a sequence of images acquired in one or more of several possible ways. This process is an inverse problem, one that is known to be highly ill-conditioned. Total Variation regularization is one of the well-known techniques used to deal with such problems, which has some disadvantages like staircase effect artifacts and nonphysical dissipation. To enhance the robustness of processing against these artifacts, this paper proposes a new regularization method based on the coupling of fourth order PDE and a type of newly designed shock filtering based on complex diffusion in addition to previous Total Variation. In order to have sharp corner structures like edges, this work also considers a corner shock filter. The proposed scheme is not only able to remove the jittering effect artifacts along the edge directions but also able to restrain the rounding artifacts around the corner structures and most importantly, the stabilization of the overall process is assured.Additional Files and Images
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Weblinks
BibTeX
@article{Bouzari-2010-ASR,
title = "An improved regularization method for artifact rejection in
image super-resolution",
author = "Hamed Bouzari",
year = "2010",
abstract = "The main aim of this paper is to employ an improved
regularization method to super-resolution problems.
Super-resolution refers to a process that increases spatial
resolution by fusing information from a sequence of images
acquired in one or more of several possible ways. This
process is an inverse problem, one that is known to be
highly ill-conditioned. Total Variation regularization is
one of the well-known techniques used to deal with such
problems, which has some disadvantages like staircase effect
artifacts and nonphysical dissipation. To enhance the
robustness of processing against these artifacts, this paper
proposes a new regularization method based on the coupling
of fourth order PDE and a type of newly designed shock
filtering based on complex diffusion in addition to previous
Total Variation. In order to have sharp corner structures
like edges, this work also considers a corner shock filter.
The proposed scheme is not only able to remove the jittering
effect artifacts along the edge directions but also able to
restrain the rounding artifacts around the corner structures
and most importantly, the stabilization of the overall
process is assured. ",
month = aug,
journal = "Signal, Image and Video Processing",
note = "In press",
keywords = "Super-resolution, Regularization, Total variation, Fourth
order PDE, Complex diffusion, Linear structure tensor",
URL = "https://www.cg.tuwien.ac.at/research/publications/2010/Bouzari-2010-ASR/",
}