Abstract
Medical images play importance role in medical science. Through medical images, doctor can do more accurate diagnoses and treatment for patients. However, medical images consume large data size; therefore, data compression is necessary to be applied in medical images. This study presents a comparison of lossless compression techniques: LOCO-I, LZW, and Lossless JPEG algorithms which tested on 5 modalities of medical images. All the algorithms are theoretically and practically a lossless image compression which has MSE equal to 0. Moreover, LZW offers higher compression ratio and faster decompression process but slower compression process than the other two algorithms. Lossless JPEG has the lowest compression ratio and requires more time both to compress and decompress the images. Therefore, in general, in this study, LZW is the best algorithm to implement in compressing medical images.
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References
Salomon, D.: Data Compression - The Complete Reference. Springer, London (2007)
Sayood, K.: Introduction to Data Compression, 4th edn. Elsevier Ltd., Waltham (2012)
Yong, K.K., Chua, M.W., Ho, W.K.: CUDA lossless data compression algorithms: a comparative study. In: IEEE Conference on Open Systems (ICOS), pp. 7–12. IEEE, Langkawi (2016)
Pu, I.M.: Fundamental Data Compression. Butterworth-Heinemann, Elsevier, London (2006)
Innovatemedtec: Medical Imaging. Innovatemedtec. http://innovatemedtec.com/digital-health/medical-imaging
Panner, M.: What’s next for the health-care data center? Data Cent. J. http://www.datacenterjournal.com/whats-healthcare-data-center
FDA, Medical Imaging. https://www.fda.gov/RadiationEmittingProducts/RadiationEmittingProducsandProcedures/MedicalImaging/default.html
Banalagay, R., Covington, K.J., Wilkes, D., Landman, B.A.: Resource estimation in high performance medical image computing. Neuroinformatics 12(4), 563–573 (2014)
Lancaster, J.L., Hasegawa, B.: Fundamental Mathematics. CRC Press, Boca Raton (2016)
Annadurai, S., Geetha, P.: Efficient secured lossless compression of medical images - using modified runlength coding for character representation. In: IEEE Indicon 2005 Conference, pp. 14–18. IEEE, Chennai (2005)
Reddy, B.V., Reddy, P., Kumar, P.S., Reddy, A.S.: Lossless compression of medical images for better diagnosis. In: 2016 IEEE 6th International Conference on Advanced Computing, pp. 404–408 (2016)
Tajallipour, R., Wahid, K.: Efficient implementation of adaptive LZW algorithm for medical image compression. In: 14th International Conference on Computer and Information Technology (ICCIT 2011), Dhaka, Bangladesh (2011)
Singh, S., Pandey, P.: Enhanced LZW technique for medical image compression. In: 2016 International Conference on Computing for Sustainable Global Development (INDIACom), pp. 1080–1084 (2016)
Krivijarvi, J., Ojala, T., Kaukoranta, T., Kuba, A., Nyul, L., Nevaleinen, O.: A comparison of lossless compression methods for medical images. Comput. Med. Imaging Graph. 4(22), 323–339 (1998)
Ukrit, F.M., Umamageswai, A.: A survey on lossless compression for medical images. Int. J. Comput. Appl. 31(8), 47–50 (2011)
Schaefer, G., Starosolski, R., Zhu, S.Y.: An evaluation of lossless compression algorithms for medical infrared images. In: Proceedings of the 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference, pp. 1673–1676. IEEE, Shanghai (2005)
Kim, Y., Horii, S.: Handbook of Medical Imaging. SPIE Press, Washington (2000)
LZW Data Compression. https://www2.cs.duke.edu/csed/curious/compression/lzw.html
Mrak, M., Grgic, S., Grgic, M.: Picture quality measures in image compression systems. In: The IEEE Region 8 EUROCON 2003. Computer as a Tool, pp. 233–237. IEEE, Ljubljana (2003)
Eskicioglu, A., Fisher, P.: Image quality measures and their performance. IEEE Trans. Commun. 43(12), 2959–2965 (1995)
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Priyatna, I.M.A., Ayu, M.A., Mantoro, T. (2019). Performance Analysis of Lossless Compression Algorithms on Medical Images. In: Unger, H., Sodsee, S., Meesad, P. (eds) Recent Advances in Information and Communication Technology 2018. IC2IT 2018. Advances in Intelligent Systems and Computing, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-93692-5_18
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DOI: https://doi.org/10.1007/978-3-319-93692-5_18
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