High Level Synthesis on Lossless Compression Decoders for Bit Streams and Software Binaries

Authors

  • Lavanya L  Assistant Professor, Department of ECE, St. Martin's Engineering College, Dhulapally, Hyderabad, Telangana, India
  • K. Aruna Manjusha  Assistant Professor, Department of ECE, MLRIT, Dundigal, Hyderabad, Telangana, India

Keywords:

Image, Watermarking, Lossless Compression.

Abstract

We need to secured transmission and storage of digital images/information where all the digital images are compressed before the storage or transmit to save the bandwidth. In this process we have embedding digital signals or patterns into an object without affecting in any way the quality of original image. The process is called Watermarking. We have study various papers related to lossless image compression and compare of those papers.

References

  1. Srivastava, R., Kumar, B., Singh, A. K., & Mohan, A. (2017). Computationally efficient joint imperceptible image watermarking and JPEG compression: a green computing approach. Multimedia Tools and Applications, 1-13.
  2. Haddad, S., Coatrieux, G., Cozic, M., & Bouslimi, D. (2017). Joint Watermarking and Lossless JPEG-LS Compression for Medical Image Security. IRBM, 38(4), 198-206.
  3. Dalal, M. S. (2017). Review Paper on Image Compression Using Lossless and Lossy Technique.
  4. Lucas, L., Rodrigues, N., Cruz, L., & Faria, S. (2017). Lossless Compression of Medical Images Using 3D Predictors. IEEE transactions on medical imaging.
  5. Singh, S., & Pandey, P. (2016, March). Enhanced LZW technique for medical image compression. In Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on (pp. 1080-1084). IEEE.
  6. Wu, H., Sun, X., Yang, J., Zeng, W., & Wu, F. (2016).
  7. Lossless compression of JPEG coded photo collections. IEEE Transactions on Image Processing, 25(6), 2684-2696.
  8. Wahba, W. Z., & Maghari, A. Y. (2016). Lossless Image Compression Techniques Comparative Study. International Research Journal of Engineering and Technology (IRJET), e-ISSN, 2395-0056.
  9. Chang, C. C., Lu, T. C., Horng, G., & Huang, Y. H. (2016). Very efficient variable-length codes for the lossless compression of VQ indices. Multimedia Tools and Applications, 75(6), 3537-3552.
  10. Anusuya, V., Raghavan, V. S., & Kavitha, G. (2014). Lossless compression on MRI images using SWT. Journal of digital imaging, 27(5), 594-600.
  11. Nian, Y., He, M., & Wan, J. (2014). Distributed near lossless compression algorithm for hyperspectral images. Computers & Electrical Engineering, 40(3), 1006-1014.
  12. Alzahir, S., & Borici, A. (2015). An innovative lossless compression method for discrete-color images. IEEE Transactions on Image Processing, 24(1), 44-56.
  13. Yan, J., Yuan, J., Leong, P. H., Luk, W., & Wang, L. (2017). Lossless Compression Decoders for Bitstreams and Software Binaries Based on High-Level Synthesis. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 25(10), 2842-2855.
  14. Patel, R., Kumar, V., Tyagi, V., & Asthana, V. (2016, March). A fast and improved image compression technique using Huffman coding. In Wireless Communications, Signal Processing and Networking (WiSPNET), International Conference on (pp. 2283-2286). IEEE.
  15. Shen, H., Pan, W. D., & Wang, Y. (2015, April). A novel method for lossless compression of arbitrarily shaped regions of interest in hyperspectral imagery. In SoutheastCon 2015(pp. 1-6). IEEE.

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Published

2018-02-28

Issue

Section

Research Articles

How to Cite

[1]
Lavanya L, K. Aruna Manjusha, " High Level Synthesis on Lossless Compression Decoders for Bit Streams and Software Binaries, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 4, Issue 2, pp.495-498, January-February-2018.