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Journal of Automation and Information Sciences
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ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v51.i2.50
pages 41-49

Modified Architecture of Lossless Image Compression Based on FPGA for On-Board Devices with Linear CCD

Bogdan P. Rusyn
G.V. Karpenko Physico-Mechanical Institute of National Academy of Sciences of Ukraine, Lvov
Alexey A. Lutsyk
G.V. Karpenko Physico-Mechanical Institute of National Academy of Sciences of Ukraine, Lvov
Rostislav Ya. Kosarevych
G.V. Karpenko Physico-Mechanical Institute of National Academy of Sciences of Ukraine, Lvov

ABSTRACT

A detailed review of methods and technologies for image compression in remote sensing problems is given. A modified lossless image compression technology for on-board systems with a single scanning linear CCD is proposed. The lossless compression algorithm is based on modified LOCO-1. The work demonstrates the efficiency of compression which in some cases can achieve 2-5 times. The properties of the proposed compression algorithm are investigated in the case of previous filtering of linear CCD data from additive noise. The possibility of implementing the proposed technology on the FPGA-architecture for working in real-time systems is shown.

REFERENCES

  1. Mishra S., Singh A., Image compression and enhancement by using the LZW and BHEPL, International Journal of Scientific and Research Publications, 2017, 7, No. 5, 235–238. DOI: 10.29322

  2. Tsung Han Tsai, Yu-Hsuan Lee, Yu-Yu Lee, Design and analysis of high-throughput lossless image compression engine using VLSI-oriented FELICS algorithm, IEEE transactions on very large scale integration systems, 2010, 18, No. 1. DOI: 10.1109/TVLSI.2008.2007230

  3. http://ethw.org/History_of_Lossless_Data_Compression_Algorithms.

  4. Gupta B., Gupta M., Chadha B., Image compression technique under jpeg by wavelets transformation, International Journal of Advanced Research in Computer Science and Software Engineering, 2014, 4, No. 6.

  5. Sengupta A., Roy D., Mathematical validation of HWT based lossless image compression, IEEE International Symposium on Information Systems (iNIS), 2017, 20–22.

  6. Deigant Y., Akshat V., Raunak H., Pranjal P., Avi J., A proposed method for lossless image compression in nano-satellite systems, Aerospace Conference 2017 IEEE, 2017, 1–11. DOI: 10.1109/AERO.2017.7943682

  7. Firas A., Jassim. Increasing compression ratio in png images by k-modulus method for image transformation, International Journal of Advanced Research in Computer Science and Software Engineering, 2013, 3, No. 6.

  8. Hasan M., Nur K., A lossless image compression technique using location based approach. International Journal of Scientific & Technology Research, 2012, 1, No. 2, 101–105.

  9. Vemuri B.C., Sahni S., Chen F., Kapoor C., Leonard C., Fitzsimmons J., Losseless image compression, 2014, 45, No. 1, 1–5.

  10. Singh A., Kirar K.G., Review of image compression techniques, International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE), 2017, 172–174.

  11. M. Tuny Pet Seenu M.R., Arul Linsely J., Analysis of lossless image compression using VLSI oriented FELICS algorithm, International Conference on Signal Processing, Communication, Computing and Networking Technologies, 2011, 623–628. DOI: 10.1109/ICSCCN.2011. 6024626

  12. Mehboob R., Khan S.A., Ahmed Z., High speed lossless data compression architecture, Proc. IEEE Int. Conf. Multitopic, 2006, 84–88. DOI: 10.1109/DATE.2007.364584

  13. Howardand P.G., Vitter J.S., Fast and efficient lossless image compression, Proc. IEEE Int. Conf. Data Compression, 1993, 501–510. DOI: 10.1109/DCC.1993.253114

  14. Bhimani D., Chaurasiya P., Sedani B., Optimized lossless image compression algorithm LOCO-I for small images, Conference on Advances in Signal Processing (CASP), 2016, 223–225. DOI: 10.1109/CASP.2016.7746169

  15. Verhack R., Lange L., Lambert P., Walle R., Sikora T., Lossless image compression based on kernel least mean squares, 2015 Picture Coding Symposium (PCS), 2015, 189–193. DOI: 10.1109/ PCS.2015.7170073

  16. Rusyn B., Lutsyk O., Lysak Y., Lukenyuk A., Pohreliuk L., Lossless image compression in the remote sensing applications, IEEE International Conferenceon Data Stream Mining & Processing (DSMP), Lviv, 2016, 195–198. DOI: 10.1109/DSMP.2016.7583539

  17. Lakis M.P., Pantazis V., Kakarountas A.P., Efficient high — performance ASIC implementation of JPEG-LS encoder, Int. Design Autom. Test Europe Conf., 2007, 1–6. DOI: 10.1109/ DATE.2007.364584

  18. Mert Y.M., FPGA Based JPEG-LS Encoder for onboard real-time lossless image compression, Satellite Data Compression, Communications, and Processing XI. Proc. of SPIE, 2015, 9501. DOI: 10.1117/12.2177882

  19. Zhao B., Huang W., Haoxiang H., Zhe Liu W., Image de-noising algorithm based on image reconstruction and compression perception, International Conference on Inventive Computing and Informatics (ICICI), 2017, 532–535.

  20. Howard P.G., Vitter J.S. , Fast and efficient lossless image compression. IEEE Data Compression Conference. 1993, 351–360. DOI: 10.1109/DCC.1993.253114

  21. http://www.visengi.com/products/jpeg_hardware_encoder.

  22. Nivedha B., Priyadharshini M., Thendral E., Deenadayalan T., Lossless image compression in cloud computing, International Conference on Technical Advancements in Computers and Communications (ICTACC), 2017, 112–115. DOI: 10.1109/ICTACC.2017.37

  23. Li S., Yin H., Fang X., Lu H., Lossless image compression algorithm and hardware architecture for bandwidth reduction of external memory, IET Image Processing, 2017, 11, No. 6, 379–388. DOI: 10.1049/iet-ipr.2016.0636

  24. Storer J.A., Helfgott H., Lossless image compression by block matching, The Computer Journal, 1997, 40, No. 2, 137–145.


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