Features of Application of Data Compression Methods

Noura qusay Ebraheem; Mohammed Sardar Ali

doi:10.25212/lfu.qzj.6.3.34

توێژەران

Noura qusay Ebraheem Department of Information Technology, College Engineering and Computer Science, Lebanese French, University, Erbil, Kurdistan Region, Iraq
Mohammed Sardar Ali Department of Information Technology, College Engineering and Computer Science, Lebanese French, University, Erbil, Kurdistan Region, Iraq

##semicolon##

https://doi.org/10.25212/lfu.qzj.6.3.34

##semicolon##

data compression, data compression algorithms, ARJ, ZIP, GZ.

پوختە

The article describes the known methods of data compression, considers the features of compression statistical and linguistic methods, with and without losses, relatively static and dynamic models. The capabilities of archivers are described and discusses the various data compression techniques, including statistical and linguistic methods, with and without losses, as well as relatively static and dynamic models. Archivers' capabilities are listed. Data compression is used everywhere. Without data compression a 3-minute song would be over 100Mb in size, while a 10-minute video would be over 1Gb in size. Data compression shrinks big files into much smaller ones. It does this by getting rid of unnecessary data while retaining the information in the file. Data compression can be expressed as a decrease in the number of bits required to illustrate data. Compressing data can conserve storage capacity, accelerate file transfer, and minimize costs for hardware storage and network capacity.

##plugins.generic.usageStats.downloads##

##plugins.generic.usageStats.noStats##

سەرچاوەکان

Altaay, A. A. J., Sahib, S. B., & Zamani, M. (2012). An introduction to image steganography techniques. Paper presented at the 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT).

Altaay, A. A. J. S., Shahrin Bin Zamani, Mazdak. (2012). An introduction to image steganography techniques. Paper presented at the 2012 International Conference on Advanced Computer Science Applications and Technologies (ACSAT).

Alyousuf, F. Q. A., Din, R., & Qasim, A. J. (2020). Analysis review on spatial and transform domain technique in digital steganography. Bulletin of Electrical Engineering and Informatics, 9(2), 573-581.

Amarunnishad, T., & Nazeer, A. (2014). Secured Reversible Data Hiding In Encrypted Images Using Hyper Chaos. International Journal of Image Processing (IJIP), 8(6), 423.

Awasthi, Y. O. G. E. S. H., Sharma, A. S. H. I. S. H., & T. Husein, S. (2018). A Critical Analysis of Internal and External Sorting Algorithms through MATLAB. Journal of Advanced Research in Dynamical and Control Systems, 9, 2789–2799.

Deshlahra, A. (2013). Analysis of Image Compression Methods Based On Transform and Fractal Coding.

Dhawan, S. (2011). A review of image compression and comparison of its algorithms. International Journal of Electronics & Communication Technology, IJECT, 2(1), 22-26.

Din, R., Mahmuddin, M., Qasim, A. J. J. I. J. o. E., & Technology. (2019). Review on steganography methods in multi-media domain. 8(1.7), 288-292.

Din, R., Qasim, A. J. J. B. o. E. E., & Informatics. (2019). Steganography analysis techniques applied to audio and image files. 8(4), 1297–1302.

Hashim, E. W. A., Hammood, M. O., & Al-azraqe, M. T. I. (2016). A Cloud Computing System Based Laborites’ Learning Universities: Case Study of Bayan University’s Laborites-Erbil. Book of Proceeding, 538.

Kavitha, P. (2016). A Survey on Lossless and Lossy Data Compression Methods. International Journal of Computer Science & Engineering Technology, 7(03), 110-114.

Khalifa, O. O. (2005). Wavelet Coding Design for Image Data Compression. Int. Arab J. Inf. Technol., 2(2), 118-127.

Kida, T., Takeda, M., Shinohara, A., Miyazaki, M., & Arikawa, S. (1998). Multiple pattern matching in LZW compressed text. Paper presented at the Proceedings DCC'98 Data Compression Conference (Cat. No. 98TB100225).

Knieser, M. J., Wolff, F. G., Papachristou, C. A., Weyer, D. J., & McIntyre, D. R. (2003). A technique for high ratio LZW compression. Paper presented at the Proceedings of the conference on Design, Automation and Test in Europe-Volume 1.

Miran, A., & Kadir, G. (2019). Enhancing AODV routing protocol to support QoS. International Journal of Advanced Trends in Computer Science and Engineering, 8(5), 1824–1830.

Mulla, A., Gunjikar, N., & Naik, R. (2013). Comparison of Different Image Compression Techniques. International Journal of Computer Applications, 70(28).

Nelson, M., & Gailly, J.-L. (1996). The data compression book: M & t Books New York.

Ni, Z., Shi, Y. Q., Ansari, N., Su, W., Sun, Q., & Lin, X. (2004). Robust lossless image data hiding. Paper presented at the Multimedia and Expo, 2004. ICME'04. 2004 IEEE International Conference on.

Park, S.-G. (2003). ADAPTIVE LOSSLESS VIDEO COMPRESSION.

Qasim, A. J., Din, R., Alyousuf, F. Q. A. J. B. o. E. E., & Informatics. (2020). Review on techniques and file formats of image compression. 9(2), 602–610.

QASSIM, A. J., & SUDHAKAR, Y. (2015). Information Security with Image through Reversible Room by using Advanced Encryption Standard and Least Significant Bit Algorithm.

Roshidi Din, O. G., Alaa Jabbar Qasim. (2018). Analytical Review on Graphical Formats Used in Image Steganographic Compression. Indonesian Journal of Electrical Engineering and Computer Science, Vol 12, No 2, pp. 441~446. doi: 10.11591

Sai Virali Tummala, V. M. (2017). Comparison of Image Compression and Enhancement Techniques for Image Quality in Medical Images.

Saroya, N., & Kaur, P. (2014). Analysis of image compression algorithm using DCT and DWT transforms. International Journal of Advanced Research in Computer Science and Software Engineering, 4(2).

Sharma, M. (2010). Compression using Huffman coding. IJCSNS International Journal of Computer Science and Network Security, 10(5), 133-141.

Soltz, M. A. (2011). Method and system to determine an optimal tissue compression time to implant a surgical element. In: Google Patents.

Syah, R., Davarpanah, A., Nasution, M. K., Wali, Q., Ramdan, D., Albaqami, M. D., ... & Noori, S. M. (2021). The Effect of Structural Phase Transitions on Electronic and Optical Properties of CsPbI3 Pure Inorganic Perovskites. Coatings, 11(10), 1173.

Taleb, S. A., Musafa, H. M., Khtoom, A., & Gharaybih, K. (2010). Improving LZW image compression. European Journal of Scientific Research, 44(3), 502-509.

Zhen, C., & Ren, B. (2009). Design and realization of data compression in real-time database. Paper presented at the 2009 International Conference on Computational Intelligence and Software Engineering.

Ziv, J., & Lempel, A. (1977). A universal algorithm for sequential data compression. IEEE Transactions on information theory, 23(3), 337-343.