Abstract
This paper presents a new post-processing algorithm based on a robust statistical model to remove the blocking artifacts observed in block discrete cosine transform (BDCT)-based image compression standards. The novelty is the implementation of a new robust weight function for the block artifact reduction. The blocking artifacts in an image are treated as an outlier random variable. The robust formulation aims at eliminating the artifacts outliers, while preserving the edge structures in the restored image. Extensive simulation results and comparative studies demonstrate that the presented method provides superior results in terms of pixel-wise (PSNR) and perceptual (SSIM) measures.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.References
Zhang, M., Gunturk, B.K.: Compression artifact reduction with adaptive bilateral filtering. Proc. IS&T/SPIE Electron. Imaging 7257, 1117–11289 (2009)
Jarske, T., Haavisto, P., Defee, I.: Post filtering methods for reducing blocking effects from coded images. IEEE Trans. Consum. Electron. 40, 521–526 (1994)
Apostolopoulos, J.G., Jayant, S.: Postprocessing for very low bit-rate video compression. IEEE Trans. Image Process. 8, 1125–1129 (1999)
Chen, T., Wu, H.R., Qiu, B.: Adaptive postfiltering of transform coefficients for the reduction of blocking artifacts. IEEE Trans. Circuits Syst. Video Technol. 11(5), 594–602 (2001)
Liu, S., Bovik, A.C.: Efficient DCT-domain blind measurement and reduction of blocking artifacts. IEEE Trans. Circuits Syst. Video Technol. 12, 1139–1149 (2002)
Liew, A.W.C., Hong, Y.: Blocking artifacts suppression in block-coded images using over complete waveletrepresentation. IEEE Trans. Circuits Syst. Video Technol. 14, 450–461 (2004)
Malvar, H.S., Staelin, D.H.: The LOT: transform coding without blocking effects. IEEE Trans. Acoust. Speech Sign. Process. 37, 553–559 (1989)
Malvar, H.S.: Biorthogonal and nonuniform lapped transforms for transform coding with reduced blockingand ringing artifacts. IEEE Trans. Sign. Process 46, 1043–1053 (1998)
Gao, W.F., Kim, Y.M.: A de-blocking algorithm and a blockinessmetric for highly compressed images. IEEE Trans. Circuits Syst. Video Technol. 12, 1150–1159 (2002)
Foi, A., Katkovnik, V., Egiazarian, K.: Pointwise shape-adaptive DCT for high quality denoising and deblocking of grayscale and color images. IEEE Trans. Image Process. 16, 1395–1411 (2007)
Jain, P., Tyagi, V.: An adaptive edge-preserving image denoising technique using tetrolet transforms. Vis. Comput. (2014). doi:10.1007/s00371-014-0993-7
Bini, A.A., Bhat, M.S.: A nonlinear level set model for image deblurring and denoising. Vis. Comput. 30(3), 311–325 (2013)
Luo, Y., Ward, R.K.: Removing the blocking artifacts of block-based DCT compressed images. IEEE Trans. Image Process. 12, 838–842 (2003)
Lieww, A.W.C., Hong, Y., Law, F.N.: POCS-based blocking artifacts suppression using a smoothness constraint set withexplicit region modeling. IEEE Trans. Circuits Syst. Video Technol. 15, 795–800 (2005)
Zou, J.J., Yan, H.: A deblocking method for BDCT compressed images based on adaptive projections. IEEE Trans. Circuits Syst. Video Technol. 15, 430–435 (2005)
Golestaneh, S.A., Damon, M., Chandle, D.M.: Algorithm for JPEG artifact reduction via local edge regeneration. J. Electron. Imaging 23(1), 013–018 (2014)
Strang, G., Nguye, T.: Wavelets and Filter Banks. Wellesley-Cambridge Press, Wellesley (1997)
Selesnick, I.W., Baraniuk, R.G., Kingsbury, N.G.: The dual-tree complex wavelet transform. IEEE Sign. Process. Mag. 22, 123–151 (2005)
Kim, J.: Adaptive blocking artifact reduction using wavelet-based block analysis. IEEE Trans. Consum. Electron. 55, 933–940 (2009)
Zhai, G., Zhang, W., Yang, X., Lin, W., Xu, Y.: Efficient image deblocking based on postfiltering in shifted windows. IEEE Trans. Circuits Syst. Video Technol. 8, 122–126 (2008)
Zhai, G., Lin, W., Cai, J., Yang, X., Zhang, W.: Efficient quadtreebased block-shift filtering for deblocking and deranging. J. Vis. Commun. Image Represent. 20, 595–607 (2009)
List, P., Joch, A., Lainema, J., Bjontegaar, G., Karczewicz, M.: Adaptive deblocking filter. IEEE Trans. Circuits Syst. Video Technol. 13(7), 614–619 (2003)
Bross, B., Han, W.J., Ohm, J.R., Sullivan, G.J., Wang, Y.K., Wiegand, T.: High efficiency video coding (HEVC) text specification draft 10 (for FDIS & Consent). Geneva, Switzerland, document JCTVC-L1003 of JCT-VC (2013)
Norkin, A., Bjontegaard, G., Fuldseth, A., Narroschke, M., Ikeda, M., Andersson, K., Zhou, M.: HEVC deblocking filter. IEEE Trans. Circuits. Syst. Video 22(12), 1746–1754 (2012)
Pourreza, S.R., Yousefi, S., Kehtarnavaz, N.: A gradient-based optimization approach for reduction of blocking artifacts in JPEG images. Sign. Process. Image Commun. 29, 1079–1091 (2014)
MPEG Video Group: MPEG-4 Video Verification. Model Version 18.0. ISO/IECJTC1/SC29/WG11 N3908 January (2001)
Rabie, T.: Robust estimation approach for blind denoising. IEEE Trans. Image Process. 14, 1755–1765 (2005)
Hampel, F., Ronchetti, E., Rousseeuw, P., Stahel, W.: Robust Statistics: The Approach Based on Influence Functions. Wiley, New York (1986)
Rousseeuw, P.J., Leroy, A.M.: Robust Regression and Outlier Detection. Wiley, New York (1987)
Black, M.J., Marimont, D.H.: Robust anisotropic diffusion. IEEE Trans. Image Process. 7, 421–432 (1998)
Singh, S., Kumar, V., Verma, K.: Reduction of blocking artifacts in JPEG compressed images. Digit. Sign. Process. 17, 225–243 (2007)
Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structure similarity. IEEE Trans. Image Process. 13, 600–612 (2004)
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Koç Kayhan, S. Efficient robust filtering technique for blocking artifacts reduction. Vis Comput 32, 417–427 (2016). https://doi.org/10.1007/s00371-015-1068-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00371-015-1068-0