Video Post-Processing with Adaptive 3-D Filters for Wavelet Ringing Artifact Removal

Boštjan MARUŠI<mos00147.jpg>; Primo<mo063086.jpg> SKO<mos00147.jpg>IR; Jurij TASI<mos00147.jpg>; Andrej KOŠIR

doi:10.1093/ietisy/e88-d.5.1031

Video Post-Processing with Adaptive 3-D Filters for Wavelet Ringing Artifact Removal

Boštjan MARUŠI, Primo SKOIR, Jurij TASI, Andrej KOŠIR

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This paper reports on the suitability of the SUSAN filter for the removal of artifacts that result from quantization errors in wavelet video coding. In this paper two extensions of the original filter are described. The first uses a combination of 2-D spatial filtering followed by 1-D temporal filtering along motion trajectories, while the second extension is a pure 3-D motion compensated SUSAN filter. The SUSAN approach effectively reduces coding artifacts, while preserving the original signal structure, by relying on a simple pixel-difference-based classification procedure. Results reported in the paper clearly indicate that both extensions efficiently reduce ringing that is the prevalent artifact perceived in wavelet-based coded video. Experimental results indicate an increase in perceptual as well as objective (PSNR) decoded video quality, which is competitive with state-of-the-art post-processing algorithms, especially when low computational demands of the proposed approach are taken into account.

Publication: IEICE TRANSACTIONS on Information Vol.E88-D No.5 pp.1031-1040

Publication Date: 2005/05/01

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DOI: 10.1093/ietisy/e88-d.5.1031

Type of Manuscript: PAPER

Category: Image Processing and Video Processing

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Boštjan MARUŠI, Primo SKOIR, Jurij TASI, Andrej KOŠIR, "Video Post-Processing with Adaptive 3-D Filters for Wavelet Ringing Artifact Removal" in IEICE TRANSACTIONS on Information, vol. E88-D, no. 5, pp. 1031-1040, May 2005, doi: 10.1093/ietisy/e88-d.5.1031.
Abstract: This paper reports on the suitability of the SUSAN filter for the removal of artifacts that result from quantization errors in wavelet video coding. In this paper two extensions of the original filter are described. The first uses a combination of 2-D spatial filtering followed by 1-D temporal filtering along motion trajectories, while the second extension is a pure 3-D motion compensated SUSAN filter. The SUSAN approach effectively reduces coding artifacts, while preserving the original signal structure, by relying on a simple pixel-difference-based classification procedure. Results reported in the paper clearly indicate that both extensions efficiently reduce ringing that is the prevalent artifact perceived in wavelet-based coded video. Experimental results indicate an increase in perceptual as well as objective (PSNR) decoded video quality, which is competitive with state-of-the-art post-processing algorithms, especially when low computational demands of the proposed approach are taken into account.
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e88-d.5.1031/_p

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@ARTICLE{e88-d_5_1031,
author={Boštjan MARUŠI, Primo SKOIR, Jurij TASI, Andrej KOŠIR, },
journal={IEICE TRANSACTIONS on Information},
title={Video Post-Processing with Adaptive 3-D Filters for Wavelet Ringing Artifact Removal},
year={2005},
volume={E88-D},
number={5},
pages={1031-1040},
abstract={This paper reports on the suitability of the SUSAN filter for the removal of artifacts that result from quantization errors in wavelet video coding. In this paper two extensions of the original filter are described. The first uses a combination of 2-D spatial filtering followed by 1-D temporal filtering along motion trajectories, while the second extension is a pure 3-D motion compensated SUSAN filter. The SUSAN approach effectively reduces coding artifacts, while preserving the original signal structure, by relying on a simple pixel-difference-based classification procedure. Results reported in the paper clearly indicate that both extensions efficiently reduce ringing that is the prevalent artifact perceived in wavelet-based coded video. Experimental results indicate an increase in perceptual as well as objective (PSNR) decoded video quality, which is competitive with state-of-the-art post-processing algorithms, especially when low computational demands of the proposed approach are taken into account.},
keywords={},
doi={10.1093/ietisy/e88-d.5.1031},
ISSN={},
month={May},}

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TY - JOUR
TI - Video Post-Processing with Adaptive 3-D Filters for Wavelet Ringing Artifact Removal
T2 - IEICE TRANSACTIONS on Information
SP - 1031
EP - 1040
AU - Boštjan MARUŠI
AU - Primo SKOIR
AU - Jurij TASI
AU - Andrej KOŠIR
PY - 2005
DO - 10.1093/ietisy/e88-d.5.1031
JO - IEICE TRANSACTIONS on Information
SN -
VL - E88-D
IS - 5
JA - IEICE TRANSACTIONS on Information
Y1 - May 2005
AB - This paper reports on the suitability of the SUSAN filter for the removal of artifacts that result from quantization errors in wavelet video coding. In this paper two extensions of the original filter are described. The first uses a combination of 2-D spatial filtering followed by 1-D temporal filtering along motion trajectories, while the second extension is a pure 3-D motion compensated SUSAN filter. The SUSAN approach effectively reduces coding artifacts, while preserving the original signal structure, by relying on a simple pixel-difference-based classification procedure. Results reported in the paper clearly indicate that both extensions efficiently reduce ringing that is the prevalent artifact perceived in wavelet-based coded video. Experimental results indicate an increase in perceptual as well as objective (PSNR) decoded video quality, which is competitive with state-of-the-art post-processing algorithms, especially when low computational demands of the proposed approach are taken into account.
ER -