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Reseach Article

Reduction of Artifacts in Compressed Videos using Adaptive Fuzzy Filter and Bilateral Filter and Comparison of their Performance

by Reeja Mathew
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 16 - Number 7
Year of Publication: 2011
Authors: Reeja Mathew
10.5120/2022-2727

Reeja Mathew . Reduction of Artifacts in Compressed Videos using Adaptive Fuzzy Filter and Bilateral Filter and Comparison of their Performance. International Journal of Computer Applications. 16, 7 ( February 2011), 43-46. DOI=10.5120/2022-2727

@article{ 10.5120/2022-2727,
author = { Reeja Mathew },
title = { Reduction of Artifacts in Compressed Videos using Adaptive Fuzzy Filter and Bilateral Filter and Comparison of their Performance },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 16 },
number = { 7 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 43-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume16/number7/2022-2727/ },
doi = { 10.5120/2022-2727 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:27.584933+05:30
%A Reeja Mathew
%T Reduction of Artifacts in Compressed Videos using Adaptive Fuzzy Filter and Bilateral Filter and Comparison of their Performance
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 7
%P 43-46
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Compression of videos results in mosquito and flickering artifacts. This paper illustrates the reduction of flickering and mosquito artifacts using adaptive fuzzy filter and bilateral filter and their comparison. Adaptive fuzzy filter is a motion compensated spatiotemporal filter applied to the inter-frame and intra-frame pixels for the reduction of artifacts. Bilateral filter depends on the combination of two parameters – intensity and spatial distance. We have calculated and plotted the graph for PSNR values for the comparison of the two. Experimental results show that the reduction of artifacts using bilateral filter gives better image quality and better robustness. Experimental results illustrating the performance of the two techniques are presented and evaluated.

References
  1. M. Kaneko, Y. Hatori, and A. Koike, “Improvements of transform coding algorithm for motion-compensated inter-frame prediction errors-dct/sq coding,” IEEE Journal on Selected Areas in Communications, vol. 5, pp. 1068–1078, August 1987.
  2. X. Fan, W. Gao, Y. Lu, and D. Zhao, “Flicking reduction in all intra frame coding,” Joint Video Team of ISO/IEC MPEG and ITU-T VCEG, JVT-E070, October 2002.
  3. Deqing Sun and Wai-Kuen Cham,“An effective postprocessing method for low bit rate block dct coded Images,” Dept. of EE, the Chinese University of Hong Kong, vol. 1-4244-0728-1, pp. I-705-I708, ICASSP 2007.
  4. Aria Nosratinia, “ Post-Processing of JPEG-2000 Images to Remove Compression Artifacts”, IEEEsignal processing letters,2002.
  5. B.K. Gunturk, Y. Altunbasak, and R. M. Mersereau, “Multiframe blocking-artifact reduction for transform-coded video,” IEEE Trans. Circuits Syst. Video Technol., vol. 12, pp. 276–282, April 2002.
  6. S. Sakaida, K. Iguchi, S. Gohshi, and Y. Fujita, “Adaptive quantization control for reducing flicker of AVC/H.264 intra frames,” presented at the Picture Coding Symp, Dec. 2004.
  7. A. Leontaris, Y. Tonomura, T. Nakachi, and P. Cosman, “Flicker suppression in JPEG2000 using segmentation-based adjustment of block truncation lengths,” in Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, Apr. 2007, vol. 1, pp. 1117–1120.
  8. S. DelCorso, C. Miro, and J. Jung, “Mnr: a novel approach to correct mpeg temporal distortions,” IEEE Transactions on Consumer Electronics, vol. 49, pp. 229–236, February 2003.
  9. H.Hu and G.de Haan, “Trained bilateral filters and applications to coding artifacts reduction,” in Proc .IEEE Int. Conf. Image Processing, vol.1, p.325328, 2007.
  10. J. V. K. Nath and D. Hazarika and A. Mahanta, “Blocking Artifacts Reduction Using Adaptive Bilateral Filtering ”,IEEE Trans. ,vol..1, pp.4244-7138-6.2010
  11. Du˜ng T. Võ, Student Member, IEEE, Truong Q. Nguyen, Fellow, IEEE, Sehoon Yea, Member, IEEE, and Anthony Vetro, Senior Member, IEEE, “Adaptive Fuzzy Filtering for Artifact Reduction in Compressed Images and Videos” IEEE Transaction on Image Processing ,vol 18, No.6, June 2009
Index Terms

Computer Science
Information Sciences

Keywords

Artifact reduction adaptive fuzzy filter bilateral filter