An improved regularization method for artifact rejection in image super-resolution

Hamed Bouzari
An improved regularization method for artifact rejection in image super-resolution
Signal, Image and Video Processing, August 2010.

Information

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.

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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/",
}