Kompresi Citra Medis dengan DWT dan Variable Length Code
Abstract
This paper designed a medical image compression scheme using DWT with mother wavelet Coiflet and Symlet. Thresholding and quantization process are the key to lossy compression in this scheme, and the outputs will be coded with Huffman or Arithmetic coding. There are four different codec combinations namely: Coiflet-Huffman, Coiflet-Arithmetic, Symlet-Huffman, Symlet-Arithmetic. Compression performance of each codec will be analyzed based on PSNR and compression ratio. The compression testing used 3 grayscale medical images with dimension of 160x160 pixels. The most optimal PSNR dan rate are produced by Symlet-Aritchmetic codec with recommendation threshold value less than 12. Threshold value above 12 causes PSNR of the reconstruction image will be below the minimum PSNR stardard for digital image, which is of 30dB.
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References
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[24] D. A. Huffman, “A Method for the Construction of Minimum-Redundancy Codes”, Proceedings of the IRE, vol. 40 no. 9, pp. 1098-1101, Sept. 1952
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[26] G. G. Langdon, “An Introduction to Arithmetic Coding”, IBM Journal of Research and Development, vol. 28 no. 2, pp. 135-149, Mar. 1984
[27] R.H. Sianipar, H.S. Mangiri, I.K. Wiryajati. MATLAB Untuk Pemrosesan Citra Digital. Bandung, Indonesia: INFORMATIKA Bandung. 2013
[28] I. M. O. Widyantara, I. G. A. G. D. Putri, N. P. Sastra, N. M. A. E. D. Wirastuti, “Selection of Mother Wavelet for Medical Image Compression”, International Conference Smart Green Technology in Electrical and Information System, pp 171-177, Okt. 2016
[2] Sutoyo, T., Mulyanto, E., Suhartono, V., Nurhayati, O. D. & Wijanarto (2009). Teori pengolahan citra digital. Andi: Yogyakarta.
[3] A. M. Faza, C. Slamet, D. Nursantika, “Analisis Kinerja Kompresi Citra Digital dengan Komparasi DWT, DCT dan Hybrid (DWT-DCT)”, Jurnal Online Informatika, vol. 1 no. 1, pp. 1-5, Jun. 2016
[4] H. Amri, A. Khalfallah, M. Gargouri, N. Nebhani, J.C. Lapayre, M.S. Bouhlel, “Medical Image Compression Approach Based on Image Resizing, Digital Watermarking and Lossless Compression”, Journal of Signal Processing Systems, vol. 87, pp. 203-2014, Jul. 2017
[5] H. Sunil, Sharanabasaweshwar, G. Hiremath, “A combined scheme of pixel and block level splitting for medical image compression and reconstruction”, Alexandria Engineering Journal, vol. 57, pp. 767-772, Jun. 2018
[6] S. UmaMaheswari, V. V. SrinivasaRaghavan, “Lossless medical image compression algorithm using tetrolet transformation”, Journal of Ambient Intelligence and Humanized Computing, Feb. 2020
[7] S. Mallat, “Zero-Crossing of a Wavelet Transform”, IEEE Transactions on Information Theory, vol. 37 no. 4, pp. 1019-1033, Jul. 1991
[8] S. G. Mallat, “Multifrequency channel decompositions of images and wavelet models”, IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 37 no 12, pp. 2091-2110, Dec. 1989
[9] T. I. Saputra, Fauziah, N. Hayati, “Implementasi Discrete Wavelet Transform Pada Aplikasi Kompresi Citra Medis”, Jurnal Infomedia, vol. 4 no. 2, pp. 101-107, Dec. 2019.
[10] I. M. A. D. S. Atmaja, “Kompresi Citra Medis Menggunakan Packet Wavelet Transform dan Run Length Encoding”, Jurnal Matrix, vol. 8 no. pp 10-15, Mar. 2018
[11] I. D. G. H. Rastama, I. M. O. Widyantara, Linawati, “Teknik Kompresi Citra Medis dengan Transformasi Diskrit Wavelet dan Pengkodean Entropy”, Jurnal Rekayasa Sistem dan Teknologi Informasi, vol. 4 no. 1, pp. 155-162, Feb. 2020
[12] F. A. Wara, A. J. Santoso, B. Y. Dwiandiyanta, “Pengaruh Derau (Noise) pada Pemampatan Intra-Frame Urutan Citra Gerak tari Hegong Menggunakan Alihragam Gelombang Singkat”, Seminar Nasional Sains dan Teknologi, Nov. 2016
[13] A. Dixit, S. Majumdar, “Comparative Analysis Of Coiflet And Daubechies Wavelets Using Global Threshold For Image De-Noising”, International Journal of Advances in Engineering & Technology, vol. 6 no 5, pp. 2247-2252, Nov. 2013
[14] E. G. T. Swee, S. Elangovan, “Applications of symlets for denoising and load forecasting”, Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics, Jun. 1999
[15] R. C. Gonzalez, R. E. Woods, Digital Image Processingm (3rd Edition). New Jersey, United States: Prentice Hall. 2006
[16] G. Strang and T. Nguyen, Wavelets and Filter Banks. Cambridge Press, 1996
[17] F. Liu, M. H. Cabronero, V. Sanchez, M. W. Marcellin, A. Bilgin, “The Current Role of Image Compression Standards in Medical Imaging”, Information, vol. 8 no. 131, Oct. 2017
[18] C. S. Burrus, R. A. Gopinath, and H. Guo. Introduction to Wavelets and Wavelet Transforms, New Jersey, United State: Prentice Hall, 1998
[19] L. L. Winger, A. N. Venetsanopoulos, “Biorthogonal modified coiflet filters for image compression”, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, May. 1998
[20] C. S. Burrus, I. E. Odegard, “Coiflet systems and zero moments”, IEEE Transactions on Signal Processing, vol. 46 no. 3, pp. 761-766, Mar. 1998
[21] K. Gopi, T.R. Shri, “Medical Image Compression Using Wavelet,” IOSR Journal of VLSI and Signal Processing (IOSR-JVSP), vol. 2 no. 4, pp 01-06, May-Jun. 2013
[22] I. Daubechies, “Orthonormal Bases of Compactly Supported Wavelet”, Communication on Pure and Applied Mathematics, vol. 41 no. 7, pp. 909-996, Oct. 1998
[23] A. Moffat. “Huffman Coding”, ACM Computing Surveys, vol. 1 no. 1, Jun. 2019
[24] D. A. Huffman, “A Method for the Construction of Minimum-Redundancy Codes”, Proceedings of the IRE, vol. 40 no. 9, pp. 1098-1101, Sept. 1952
[25] I.H. Witten, R. M. Neal, J. G. Cleary, “Arithmetic Coding for Data Compression”, Communication of the ACM, vol. 30 no. 6, pp 520-540, Jun. 1987
[26] G. G. Langdon, “An Introduction to Arithmetic Coding”, IBM Journal of Research and Development, vol. 28 no. 2, pp. 135-149, Mar. 1984
[27] R.H. Sianipar, H.S. Mangiri, I.K. Wiryajati. MATLAB Untuk Pemrosesan Citra Digital. Bandung, Indonesia: INFORMATIKA Bandung. 2013
[28] I. M. O. Widyantara, I. G. A. G. D. Putri, N. P. Sastra, N. M. A. E. D. Wirastuti, “Selection of Mother Wavelet for Medical Image Compression”, International Conference Smart Green Technology in Electrical and Information System, pp 171-177, Okt. 2016
Published
2021-12-25
How to Cite
GARNITA DARMA PUTRI, I Gusti Ayu et al.
Kompresi Citra Medis dengan DWT dan Variable Length Code.
Majalah Ilmiah Teknologi Elektro, [S.l.], v. 20, n. 2, p. 187-194, dec. 2021.
ISSN 2503-2372.
Available at: <https://ojs.unud.ac.id/index.php/mite/article/view/71408>. Date accessed: 19 nov. 2024.
doi: https://doi.org/10.24843/MITE.2021.v20i02.P02.
Section
Articles
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International License
