Journal of Soft Computing Paradigm
IRO Journals
Volume 2 — Issue 3 — September 2020

Light Field Image Coding with Image Prediction in Redundancy

https://doi.org/10.36548/jscp.2020.3.003
A. Sathesh
"Department of EEE, Eritrea Institute of Technology
PDF
PDF

How to Cite

Sathesh, A. 2020. “Light Field Image Coding With Image Prediction in Redundancy”. Journal of Soft Computing Paradigm 2 (3): 160-67. https://doi.org/10.36548/jscp.2020.3.003.
ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver AMA

Download Citation

Endnote/Zotero/Mendeley (RIS) BibTeX

Keywords

— HEVC
— spatial pixel prediction
— light field representation
— Light field coding
Published: 21-07-2020

Abstract

The proposed work involves a hybrid data representation using efficient light field coding. The existing light field coding solution are implemented using sub-aperture or micro-images. However, the full capacity in terms of intrinsic redundancy in light field images is not completely explored. This paper represents a hybrid data representation which explores four major redundancy types. Using coding block, the most predominant redundancy is exploited to find the optimum coding solution that provides maximum flexibility. To show how efficient the hybrid representation works, we have proposed a combination of pseudo-video sequence coding approach with pixel prediction methods. The observed experimental results shows a positive bit rate saving when compared to other similar methods. Similarly, the proposed method is also said to outperform other coding algorithms such as WaSP and MuLE when compared on a HEVC-based benchmark.

References

  1. Abbott, L. F., Rolls, E. T., & Tovee, M. J. (1996). Representational capacity of face coding in monkeys. Cerebral Cortex, 6(3), 498-505.
  2. Lupiani, B., Lee, L. F., & Reddy, S. M. (2001). Protein-coding content of the sequence of Marek’s disease virus serotype 1. In Marek’s disease (pp. 159-190). Springer, Berlin, Heidelberg.
  3. Smys, S., João Manuel RS Tavares, Valentina Emilia Balas, and Abdullah M. Iliyasu, eds. Computational Vision and Bio-Inspired Computing: ICCVBIC 2019. Vol. 1108. Springer Nature, 2020.
  4. Suma, V. (2019). Security and privacy mechanism using blockchain. Journal of Ubiquitous Computing and Communication Technologies (UCCT), 1(01), 45-54.
  5. Champel, M. L., Huguenin, K., Kermarrec, A. M., & Le Scouarnec, N. (2010, June). LT network codes. In 2010 IEEE 30th International Conference on Distributed Computing Systems (pp. 536-546). IEEE.
  6. Prajwalasimha, S. N., S. R. Kavya, A. S. Hema, and H. C. Anusha. "Modified Gingerbreadman Chaotic Substitution and Transformation Based Image Encryption." In International Conference On Computational Vision and Bio Inspired Computing, pp. 606-614. Springer, Cham, 2019.
  7. Jeon, S. Y., Ahn, J. H., & Lee, T. J. (2016). Reliable broadcast using limited LT coding in wireless networks. IEEE Communications Letters, 20(6), 1187-1190.
  8. Yuan, X., & Ping, L. (2008). On systematic LT codes. IEEE Communications letters, 12(9), 681-683.
  9. Azath Mubarakali, Ninoslav Marina, and Elena Hadzieva. "Analysis of Feature Extraction Algorithm Using Two Dimensional Discrete Wavelet Transforms in Mammograms to Detect Microcalcifications." Computational Vision and Bio-Inspired Computing: ICCVBIC 2019 1108 (2020): 26.
  10. Lu, H., Cai, J., & Foh, C. H. (2010, December). Joint unequal loss protection and LT coding for layer-coded media delivery. In 2010 IEEE Global Telecommunications Conference GLOBECOM 2010 (pp. 1-5). IEEE.
  11. Bose, Subash Chandra, Murugesh Veerasamy, Azath Mubarakali, Ninoslav Marina, and Elena Hadzieva. "Analysis of Feature Extraction Algorithm Using Two Dimensional Discrete Wavelet Transforms in Mammograms to Detect Microcalcifications." In International Conference On Computational Vision and Bio Inspired Computing, pp. 26-39. Springer, Cham, 2019.
  12. Kumar, T. S. (2019). A Novel Method for HDR Video Encoding, Compression and Quality Evaluation. Journal of Innovative Image Processing (JIIP), 1(02), 71-80.
  13. Hemanth, D. Jude, and S. Smys, eds. Computational Vision and Bio Inspired Computing. Vol. 28. Springer, 2018.
  14. Wu, N., Nguyen, T. D., Wei, C. Y., Yang, L. L., & Hanzo, L. (2008, May). Integrated LT coding, bit interleaved differential space time coding and sphere packing modulation for the wireless internet. In VTC Spring 2008-IEEE Vehicular Technology Conference (pp. 344-348). IEEE.
  15. Kumar, T. Senthil. "A Novel Method for HDR Video Encoding, Compression and Quality Evaluation." Journal of Innovative Image Processing (JIIP) 1, no. 02 (2019): 71-80.
  16. Yu, J., Zhong, J., Zhao, M., Cai, Y., & Wu, J. (2012, October). Novel LT coding scheme with limited feedback in broadcast systems. In 2012 International Conference on Wireless Communications and Signal Processing (WCSP) (pp. 1-5). IEEE.
  17. Chang, S. K., Yang, K. C., & Wang, J. S. (2008, May). Unequal-protected LT code for layered video streaming. In 2008 IEEE International Conference on Communications (pp. 500-504). IEEE.
  18. D. Liu, P. An, R. Ma, C. Yang, and L. Shen, ``3D holoscopic image coding scheme using HEVC with Gaussian process regression,'' Signal Process., Image Commun., vol. 47, pp. 438-451, Sep. 2016.
  19. D. Liu, P. An, R. Ma, W. Zhan, X. Huang, and A. A. Yahya, ``Contentbased light field image compression method with Gaussian process regression,'' IEEE Trans. Multimedia, vol. 22, no. 4, pp. 846-859, Apr. 2020.
  20. Shakya, Subarna. "Analysis of Artificial Intelligence based Image Classification Techniques." Journal of Innovative Image Processing (JIIP) 2, no. 01 (2020): 44-54.
  21. Y. Li, M. Sjostrom, and R. Olsson, ``Coding of plenoptic images by using a sparse set and disparities,'' in Proc. IEEE Int. Conf. Multimedia Expo (ICME), Turin, Italy, Jun. 2015, pp. 1-6.
  22. Y. Li, M. Sjostrom, R. Olsson, and U. Jennehag, ``Scalable coding of plenoptic images by using a sparse set and disparities,'' IEEE Trans. Image Process., vol. 25, no. 1, pp. 80-91, Jan. 2016.
  23. Koresh, Mr H. James Deva. "Quantization with Perception for Performance Improvement in HEVC for HDR Content." Journal of Innovative Image Processing (JIIP) 2, no. 01 (2020).
  24. Himabindu, Y., R. Manjusha, and Latha Parameswaran. "Detection and Removal of RainDrop from Images Using DeepLearning." In International Conference On Computational Vision and Bio Inspired Computing, pp. 1355-1362. Springer, Cham, 2019.
  25. CHITRA, Ms K., and V. PRASANNA VENKATESAN. "An Antiquity to the contemporary of Secret Sharing Scheme." Journal of Innovative Image Processing (JIIP) 2, no. 01 (2020): 1-13.