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

Ehsan Nadernejad; Soren Forchhammer; Jari Korhonen

doi:10.1109/EuVIP.2011.6045551

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

Ehsan Nadernejad^*, Soren Forchhammer, Jari Korhonen

^*Corresponding author for this work

Computing Science

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

9 Citations (Scopus)

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 language	English
Title of host publication	3rd European Workshop on Visual Information Processing, EUVIP 2011
Pages	24-29
Number of pages	6
DOIs	https://doi.org/10.1109/EuVIP.2011.6045551
Publication status	Published - 2011
Event	3rd European Workshop on Visual Information Processing, EUVIP 2011 - Paris, France Duration: 4 Jul 2011 → 6 Jul 2011

Conference

Conference	3rd European Workshop on Visual Information Processing, EUVIP 2011
Country/Territory	France
City	Paris
Period	4/07/11 → 6/07/11

Keywords

Anisotropic Diffusion
Artifact Reduction
Fuzzy filter
H.264

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10.1109/EuVIP.2011.6045551

Cite this

Artifact reduction of compressed images and video combining adaptive fuzzy filtering and directional anisotropic diffusion. / Nadernejad, Ehsan; Forchhammer, Soren; Korhonen, Jari.
3rd European Workshop on Visual Information Processing, EUVIP 2011. 2011. p. 24-29 6045551.

Research output: Chapter in Book/Report/Conference proceeding › Published conference contribution

Nadernejad, E, Forchhammer, S & Korhonen, J 2011, Artifact reduction of compressed images and video combining adaptive fuzzy filtering and directional anisotropic diffusion. in 3rd European Workshop on Visual Information Processing, EUVIP 2011., 6045551, pp. 24-29, 3rd European Workshop on Visual Information Processing, EUVIP 2011, Paris, France, 4/07/11. https://doi.org/10.1109/EuVIP.2011.6045551

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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.",

keywords = "Anisotropic Diffusion, Artifact Reduction, Fuzzy filter, H.264",

author = "Ehsan Nadernejad and Soren Forchhammer and Jari Korhonen",

year = "2011",

doi = "10.1109/EuVIP.2011.6045551",

language = "English",

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N2 - 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.

AB - 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.

KW - Anisotropic Diffusion

KW - Artifact Reduction

KW - Fuzzy filter

KW - H.264

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DO - 10.1109/EuVIP.2011.6045551

M3 - Published conference contribution

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BT - 3rd European Workshop on Visual Information Processing, EUVIP 2011

T2 - 3rd European Workshop on Visual Information Processing, EUVIP 2011

Y2 - 4 July 2011 through 6 July 2011

ER -

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

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Keywords

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