Artifact reduction of compressed images and video combining adaptive fuzzy filtering and directional anisotropic diffusion

Ehsan Nadernejad (Invited author), Søren Forchhammer (Invited author), Jari Korhonen (Invited author)

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Abstract

Fuzzy filtering is one of the recently developed methods for reducing distortion in compressed images and video. In this paper, we combine the powerful anisotropic diffusion equations with fuzzy filtering in order to reduce the impact of artifacts. Based on the directional nature of the blocking and ringing artifacts, we have applied directional anisotropic diffusion. Besides that, the selection of the adaptive threshold parameter for the diffusion coefficient has also improved the performance of the algorithm. Experimental results on JPEG compressed images as well as MJPEG and H.264 compressed videos show improvement in artifact reduction of the proposed algorithm over other directional and spatial fuzzy filters.
Original languageEnglish
Title of host publication2011 3rd European Workshop on Visual Information Processing (EUVIP)
PublisherIEEE
Publication date2011
Pages24-29
ISBN (Print)978-1-4577-0070-5
DOIs
Publication statusPublished - 2011
EventEuropean Workshop on Visual Information Processing - Paris, France
Duration: 1 Jan 2011 → …
Conference number: 3

Conference

ConferenceEuropean Workshop on Visual Information Processing
Number3
CityParis, France
Period01/01/2011 → …

Keywords

  • H.264
  • Artifact Reduction
  • Anisotropic Diffusion
  • Fuzzy filter

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