Abstract
This paper presents a novel no-reference blocking artifacts metric using selective gradient and plainness (BAM_SGP) measures for DCT-coded images. A boundary selection criterion is introduced to distinguish the blocking artifacts boundaries from the true-edge boundaries, which ensures that the most potential artifacts boundaries are involved in the measurement. Next, the artifacts are evaluated by the gradient and plainness measures indicating different aspects of blocking artifacts characteristics. Then these two measures are fused into a metric of blocking artifacts. Compared with some existing metrics, experiments on the LIVE database and our own test set show that the proposed metric can keep better consistent with Mean Opinion Score (MOS).
Supported by National Natural Science Foundation Research Program of China under Contact No.60672088 and No.60736043.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Karunasekera, S.A., Kingsbury, N.G.: A distortion measure for blocking artifacts in images based on human visual sensitivity. IEEE Trans. Image Processing 4, 713–724 (1995)
Wu, H.R., Yuen, M.: A generalized block-edge impairment metric for video coding. IEEE Signal Process. Lett. 4(11), 317–320 (1997)
Wang, Z., Sheikh, H.R., Bovik, A.C.: No-Reference Perceptual Quality Assessment of JPEG Compressed Images. In: Proc. of ICIP 2002, pp. 477–480 (2002)
Pan, F., Lin, X., Rahardja, S., et al.: A locally adaptive algorithm for measuring blocking artifacts in images and videos. Signal Processing: Image Communication 19(6), 499–506 (2004)
Sheikh, H.R., Wang, Z., Cormack, L., Bovik, A.C.: LIVE image quality assessment database, http://live.ece.utexas.edu/research/quality
ITU-T Recommendation BT.500-10. Methodology for the Subjective Assessment of the Quality of Television Pictures (2000)
VQEG: Final report from the video quality experts group on the validation of objective models of video quality assessment (August 2003), http://www.vqeg.org/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, J., Zhang, Y., Liang, L., Ma, S., Wang, R., Gao, W. (2008). A No-Reference Blocking Artifacts Metric Using Selective Gradient and Plainness Measures. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_108
Download citation
DOI: https://doi.org/10.1007/978-3-540-89796-5_108
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89795-8
Online ISBN: 978-3-540-89796-5
eBook Packages: Computer ScienceComputer Science (R0)