Abstract
We propose a detection method of corner outlier artifacts and a simple and effective filter in order to remove the artifacts in highly compressed video. We detect the corner outlier artifacts based on the direction of edges going through a block corner and the properties of blocks around the edges. Based on the detection results, we remove the stair-shaped discontinuities, i.e., corner outlier artifacts, using the neighboring pixels of the corner outlier artifact in the spatial domain. Simulation results show that the proposed method improves, particularly in combination with a deblocking filter, both objective performance and subjective visual quality.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Park, H., Lee, Y.: A Postprocessing Method for Reducing Quantization Effects in Low Bit-rate Moving Picture Coding. IEEE Trans. Circuits and Syst. Video Tech. 9, 161–171 (1999)
Kim, S., Yi, J., Kim, H., Ra, J.: A Deblocking Filter with Two Separate Modes in Block-based Video Coding. IEEE Trans. Circuits and Syst. Video Tech. 9, 156–160 (1999)
Zhao, Y., Cheng, G., Yu, S.: Postprocessing Technique for Blocking Artifacts Reduction in DCT Domain. IEE Electron. Lett. 40, 1175–1176 (2004)
Wang, C., Zhang, W.-J., Fang, X.-Z.: Adaptive Reduction of Blocking Artifacts in DCT Domain for Highly Compressed Images. IEEE Trans. Consum. Electron. 50, 647–654 (2004)
Kaup, A.: Reduction of Ringing Noise in Transform Image Coding Using Simple Adaptive Filter. IEE Electron. Lett. 34, 2110–2112 (1998)
Text of MPEG-4 Video Verification Model ver.18.0. ISO/IEC Doc. N3908 (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, J., Kim, D., Jeong, J. (2006). Simple and Effective Filter to Remove Corner Outlier Artifacts in Highly Compressed Video. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2006. Lecture Notes in Computer Science, vol 4179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11864349_42
Download citation
DOI: https://doi.org/10.1007/11864349_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44630-9
Online ISBN: 978-3-540-44632-3
eBook Packages: Computer ScienceComputer Science (R0)