Abstract
A generalized coding artifact reduction algorithm is proposed for a variety of artifacts, including blocking artifact, ringing artifact and mosquito noise. This algorithm does not require grid position detection and any coding parameters. All the filtering is based on local content analysis. Basically, the algorithm attempts to apply mild low-pass filtering on more informative regions to preserve the sharpness of the object details, and to apply strong low-pass filtering on less informative regions to remove severe artifacts. The size and parameters of the low-pass filters are changed continuously based on the entropy of a local region.
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
Chen, T., Wu, H.R., Qiu, B.: Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts. IEEE Transactions on Circuits and Systems for Video Technology 11(5), 584–602 (2001)
Kim, S., Yi, J., Kim, H., Ra, J.: A deblocking filter with two separate modes in block-based video coding. IEEE Transactions on Circuits and Systems for Video Technology 9 (1999)
Pan, F., Lin, X., Rahardja, S., Lin, W., Ong, E., Yao, S., Lu, Z., Yang, X.: A locally-adaptive algorithm for measuring blocking artifacts in images and videos. In: IEEE International Symposium on Circuits and Systems (2004)
Tai, S., Chen, Y., Sheu, S.: Deblocking filter for low bit rate MPEG-4 video. IEEE Transactions on Circuits and Systems for Video Technology 15 (2005)
Kirenko, I., Muijs, R., Shao, L.: Coding artifact reduction using non-reference block grid visibility measure. In: Proc. IEEE International Conference on Multimedia and Expo, Toronto, Canada (July 2006)
Kong, H.-S., Vetro, A., Sun, H.: Edge map guided adaptive post-filter for blocking and ringing artifacts removal. In: Proc. IEEE International Symposium on Circuits and Systems, vol. 3, pp. 929–932 (May 2004)
Shao, L., Kirenko, I.: Coding artifact reduction based on local entropy analysis. IEEE Trans. Consumer Electronics 53(2), 691–696 (2007)
Shao, L.: Unified compression artifacts removal based on adaptive learning on activity measure. Digital Signal Processing 17(6), 1065–1070 (2007)
Shao, L., Kadir, T., Brady, M.: Geometric and Photometric Invariant Distinctive Regions Detection. Information Sciences 177(4), 1088–1122 (2007)
Shao, L., Brady, M.: Specific object retrieval based on salient regions. Pattern Recognition 39(10), 1932–1948 (2006)
Shao, L., Brady, M.: Invariant salient regions based image retrieval under viewpoint and illumination variations. Journal of Visual Communication and Image Representation 17(6), 1256–1272 (2006)
Kirenko, I.: Reduction of coding artifacts using chrominance and luminance spatial analysis. In: Proc. IEEE International Conference on Consumer Electronics, Las Vegas, USA (January 2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Shao, L., Zhang, H., Liu, Y. (2011). A Generalized Coding Artifacts and Noise Removal Algorithm for Digitally Compressed Video Signals. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6523. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17832-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-642-17832-0_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17831-3
Online ISBN: 978-3-642-17832-0
eBook Packages: Computer ScienceComputer Science (R0)