Abstract
It has been reported that the image quality and depth perception rates are undesirably decreased by compression in DIBR. This is because high-frequency components are filtered by compression, and thus several compression artifacts occur. Blocking artifacts are the most representative ones which seriously degrade the picture quality, and are annoying to viewers. The fundamental cause of the coding artifacts is that the 3D contents are delivered to users over the existing 2D broadcast infrastructures which employ BDCT coding as image compression techniques. In this paper, we propose a new deblocking method in 3D images, i.e., video-plus-depth, using an overcomplete 3D dictionary. We generate the 3D dictionary from natural and depth images using the k-singular value decomposition (K-SVD) algorithm, and estimate an error threshold to utilize the 3D dictionary using a compression factor of the compressed images. Experimental results demonstrate that the proposed method is very effective in reducing undesirable blocking artifacts in 3D images.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Park, Y.K., Jung, K., Oh, Y., Lee, S., Kim, J.K., Lee, G., Lee, H., Yun, K., Hur, N., Kim, J.: Depth-image-based rendering for 3DTV Service over T-DMB. Signal Processing: Image Communication 24, 122–136 (2009)
Choi, S., Jung, C., Lee, S., Kim, J.K., Jung, K., Lee, G., Hur, N., Kim, J.: 3D DMB Player and its realistic 3D services over T-DMB. In: Proc. IEEE ISM 2009, pp. 440–441 (2009)
Fehn, C.: Depth-image-based rendering (DIBR), compression and transmission for a new approach on 3D-TV. In: Proc. SPIE Conf. Stereoscopic Displays and Virtual Reality Systems, pp. 93–104 (2004)
Zhang, L., Tam, W.J.: Stereoscopic image generation based on depth images for 3DTV. IEEE Transactions on Broadcasting 51, 191–199 (2005)
Jung, C., Jiao, L.C.: Disparity-map-based rendering for mobile 3D TVs. IEEE Transactions on Consumer Electronics 57, 1171–1175 (2011)
Jung, C., Jiao, L.C., Oh, Y., Kim, J.K.: Depth-preserving DIBR based on disparity map over T-DMB. Electronics Letters 46, 628–629 (2010)
Merkle, P., Muller, K., Wiegand, T.: 3D video: Acquisition, coding, and display. In: Proc. IEEE ICCE, pp. 127–128 (2010)
Lim, J.S., Reeve, H.C.: Reduction of blocking effect in image coding. Opt. Eng. 23, 34–37 (1984)
Ramamurthi, B., Gersho, A.: Nonlinear space-variant postprocessing of block coded images. IEEE Trans. Acoust., Speech, Signal Process. 34, 1258–1268 (1986)
List, P., Joch, A., Lainema, J., Bjntegaard, G., Karczewicz, M.: Adaptive deblocking filter. IEEE Trans. Circuits Syst. Video Technol. 13, 614–619 (2003)
Xiong, Z., Orchard, M., Zhang, Y.Q.: A deblocking algorithm for JPEG compressed images using overcomplete wavelet representations. IEEE Trans. Circuits Syst. Video Technol. 7, 433–443 (1997)
Liew, A.W.C., Yan, H.: Blocking artifacts suppression in block-coded images using overcomplete wavelet representation. IEEE Trans. Circuits Syst. Video Technol. 14, 450–461 (2004)
Rosenholtz, R.E., Zakhor, A.: Iterative procedures for reduction of blocking effects in transform image coding. In: Proc. SPIE Image Processing Algorithms and Techniques II, pp. 116–126 (1991)
Kim, Y., Park, C.S., Ko, S.J.: Fast POCS based post-processing technique for HDTV. IEEE Trans. Consumer Electronics, 1438–1447 (2003)
Alter, F., Durand, S.Y., Froment, J.: Deblocking DCT-based compressed images with weighted total variation. In: Proc. IEEE ICASSP, pp. 17–21 (2004)
Do, Q.B., Beghdadi, A., Luong, M.: A new adaptive image post-treatment for deblocking and deringing based on total variation method. In: Proc. ISSPA, pp. 10–13 (2010)
Sun, D., Cham, W.K.: Postprocessing of low bit-rate block DCT coded images based on a fields of experts prior. IEEE Trans. Image Process. 16, 2743–2751 (2007)
Meier, T., Ngan, T.K., Crebbin, G.: Reduction of blocking artifacts in image and video coding. IEEE Trans. Circuits Syst. Video Technol. 9, 490–500 (1999)
Elad, M., Aharon, M.: Image denoising via sparse and redundant representations over learned dictionaries. IEEE Trans. Image Process. 15, 3736–3745 (2006)
Carvajalino, J.M.D., Sapiro, G.: Learning to sense sparse signals: Simultaneous sensing matrix and sparsifying dictionary optimization. IEEE Trans. Image Process. 18, 1395–1408 (2009)
Yang, J., Wright, J., Huang, T., Ma, Y.: Image super-resolution via sparse representation. IEEE Trans. Image Process. 19, 2861–2873 (2010)
Jung, C., Jiao, L.C., Liu, B., Qi, H., Sun, T.: Toward high-quality image communications: inverse problems in image processing. Optical Engineering 51, 100901 (2012)
Jung, C., Jiao, L.C., Qi, H., Sun, T.: Image deblocking via sparse representation. Signal Processing: Image Communication 27, 663–677 (2012)
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)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jung, C., Jiao, L., Qi, H. (2013). Blocking Artifact Reduction in DIBR Using an Overcomplete 3D Dictionary. In: Li, S., et al. Advances in Multimedia Modeling. MMM 2013. Lecture Notes in Computer Science, vol 7732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35725-1_26
Download citation
DOI: https://doi.org/10.1007/978-3-642-35725-1_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35724-4
Online ISBN: 978-3-642-35725-1
eBook Packages: Computer ScienceComputer Science (R0)