Adaptive Multiple Description Depth Image Coding Based on Wavelet Sub-band Coefficients | SpringerLink
Skip to main content

Adaptive Multiple Description Depth Image Coding Based on Wavelet Sub-band Coefficients

  • Conference paper
  • First Online:
Advances in Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2017)

Abstract

With the development of multi-view video plus depth technology, the coding algorithm at the depth image has become one of hot research directions. As we know, after wavelet transform, the energy of the image smoothing region is concentrated in low frequency sub-band, while the edge information of the texture region is concentrated in high frequency sub-bands. However, the edge information is very important to the synthetic viewpoint. In order to improve the edge decoding quality and ensure the transmission reliability, we propose an adaptive multiple description depth image coding scheme based on wavelet sub-band coefficients. The low frequency sub-band is encoded by optimized multiple description lattice quantization (OMDLVQ), while the high frequency sub-bands are encoded by embedded block coding with dead-zone. Finally, two streams of the vector quantization are combined with the embedded block coding stream respectively. The experimental results show that this scheme has good performance in transmission reliability and reconstructed image quality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
JPY 3498
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
JPY 17159
Price includes VAT (Japan)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
JPY 21449
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
JPY 21449
Price includes VAT (Japan)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Lee, J.Y., Wey, H.C., Park, D.S.: A fast and efficient multi-view depth image coding method based on temporal and inter-view correlations of texture images. IEEE Trans. Circ. Syst. Video Technol. 21, 1859–1868 (2011)

    Article  Google Scholar 

  2. Li, G., Qu, W., Huang, Q.: A multiple targets appearance tracker based on object interaction models. IEEE Trans. Circ. Syst. Video Technol. 22, 450–464 (2012)

    Article  Google Scholar 

  3. Wang, M., et al.: Region of interest oriented fast mode decision for depth map coding in DIBR. In: Proceedings of the 2011 IEEE 7th International Colloquium on Signal Processing and its Applications, pp. 177–180 (2011)

    Google Scholar 

  4. Wang, T., et al.: Depth map coding based on adaptive block compressive sensing. In: IEEE China Summit and International Conference on Signal and Information Processing, pp. 492–495 (2015)

    Google Scholar 

  5. Stark, J.A.: Adaptive image contrast enhancement using generalizations of histogram equalization. IEEE Trans. Image Process. 9, 889–896 (2000)

    Article  Google Scholar 

  6. Servetto, S.D., et al.: Multiple description wavelet based image coding. IEEE Trans. Image Process. 9, 813–826 (2000)

    Article  Google Scholar 

  7. Bai, H., Zhu, C., Zhao, Y.: Optimized multiple description lattice vector quantization for wavelet image coding. IEEE Trans. Circ. Syst. Video Technol. 17, 912–917 (2007)

    Article  Google Scholar 

  8. Zhang, H., Bai, H., Zhao, Y.: Optimized multiple description lattice vector quantization coding for 3D depth image. KSII Trans. Int. Inf. Syst. 9, 1140–1154 (2015)

    Google Scholar 

  9. Said, A., Pearlman, W.A.: A new fast and efficient image codec based on set partitioning in hierarchical trees. IEEE Trans. Circ. Syst. Video Technol. 6, 243–250 (1996)

    Article  Google Scholar 

  10. Islam, A., Pearlman, W.A.: Embedded and efficient low-complexity hierarchical image coder. In: Proceedings of SPIE the International Society for Optical Engineering, pp. 385–388 (2000)

    Google Scholar 

Download references

Acknowledgement

This work was supported in part by National Natural Science Foundation of China (No. 61672087, 61402033) and CCF-Tencent Open Fund.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Huihui Bai .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Ma, J., Bai, H., Liu, M., Chang, D., Ni, R., Zhao, Y. (2018). Adaptive Multiple Description Depth Image Coding Based on Wavelet Sub-band Coefficients. In: Pan, JS., Tsai, PW., Watada, J., Jain, L. (eds) Advances in Intelligent Information Hiding and Multimedia Signal Processing. IIH-MSP 2017. Smart Innovation, Systems and Technologies, vol 82. Springer, Cham. https://doi.org/10.1007/978-3-319-63859-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-63859-1_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63858-4

  • Online ISBN: 978-3-319-63859-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics