Top

Published in:

2018 | OriginalPaper | Chapter

Compression Artifacts Reduction for Depth Map by Deep Intensity Guidance

Authors : Pingping Zhang, Xu Wang, Yun Zhang, Lin Ma, Jianmin Jiang, Sam Kwong

Published in: Advances in Multimedia Information Processing – PCM 2017

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

In this paper, we propose a intensity guided CNN (IG-Net) model, which learns an end-to-end mapping between the intensity image and distorted depth map to the uncompressed depth map. To eliminate the undesired blocking artifacts such as discontinuities around object boundary, two branches are designed to extract the high-frequency information from intensity image and depth map, respectively. Multi-scale feature fusion and enhancement layers are introduced in the main branch to strength the edge information of the restored depth map. Performance evaluation on JPEG compression artifacts shows the effectiveness and superiority of our proposed model compared with state-of-the-art methods.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Analysis of Psychological Behavior of Undergraduates

next chapter LiPS: Learning Social Relationships in Probe Space

McHenry, K., Bajcsy, P.: An overview of 3D data content, file formats and viewers. Natl Center Supercomput. Appl. 1205, 22 (2008)

Luo, Y., Ward, R.K.: Removing the blocking artifacts of block-based DCT compressed images. IEEE Trans. Image Process. 12(7), 838–842 (2003)CrossRef

Singh, S., Kumar, V., Verma, H.K.: Reduction of blocking artifacts in JPEG compressed images. Digit. Signal Proc. 17(1), 225–243 (2007)CrossRef

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(5), 1395–1411 (2007)MathSciNetCrossRef

Dong, C., Deng, Y., Change Loy, C., Tang, X.: Compression artifacts reduction by a deep convolutional network. In: 2015 IEEE International Conference on Computer Vision (ICCV), pp. 576–584. IEEE, December 2015

Yu, K., Dong, C., Loy, C.C., Tang, X.: Deep convolution networks for compression artifacts reduction. arXiv preprint arXiv:1608.02778 (2016)

Mao, X.-J., Shen, C., Yang, Y.-B.: Image restoration using convolutional auto-encoders with symmetric skip connections. arXiv preprint arXiv:1606.08921 (2016)

Hui, T.-W., Loy, C.C., Tang, X.: Depth map super-resolution by deep multi-scale guidance. In: Leibe, B., Matas, J., Sebe, N., Welling, M. (eds.) ECCV 2016. LNCS, vol. 9907, pp. 353–369. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-46487-9_22CrossRef

Scharstein, D., Szeliski, R.: High-accuracy stereo depth maps using structured light. In: Proceedings of 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, p. I. IEEE Computer Society (2003)

10.

Scharstein, D., Pal, C.: Learning conditional random fields for stereo. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8. IEEE, June 2007

11.

Hirschmuller, H., Scharstein, D.: Evaluation of cost functions for stereo matching. In: 2007 IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–8. IEEE, June 2007

12.

Scharstein, D., Hirschmüller, H., Kitajima, Y., Krathwohl, G., Nešić, N., Wang, X., Westling, P.: High-resolution stereo datasets with subpixel-accurate ground truth. In: Jiang, X., Hornegger, J., Koch, R. (eds.) GCPR 2014. LNCS, vol. 8753, pp. 31–42. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-11752-2_3CrossRef

13.

Yaman, M., Kalkan, S.: An iterative adaptive multi-modal stereo-vision method using mutual information. J. Vis. Commun. Image Represent. 26, 115–131 (2015)CrossRef

Title: Compression Artifacts Reduction for Depth Map by Deep Intensity Guidance
Authors: Pingping Zhang
Xu Wang
Yun Zhang
Lin Ma
Jianmin Jiang
Sam Kwong
Publisher: Springer International Publishing
Book: Advances in Multimedia Information Processing – PCM 2017
Print ISBN: 978-3-319-77379-7

Electronic ISBN: 978-3-319-77380-3

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-77380-3_83

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"