Passport Photo Compression: A Review
DOI:
https://doi.org/10.29304/jqcm.2022.14.3.998Keywords:
passport photo,, compression techniques,, lossy/lossless,, segmentationAbstract
The demand for electronic -passport photo ( frontal facial) images has grown rapidly. It now extends to Electronic Government (E-Gov) applications such as social benefits driver's license, e-passport, and e-visa . With the COVID 19 (coronavirus disease ), facial (formal) images are becoming more widely used and spreading quickly, and are being used to verify an individual's identity, but unfortunately that comes with insignificant details of constant background which leads to huge byte consumption that affects storage space and transmission, where the optimal solution that aims to curtail data size using compression techniques that based on exploiting image redundancy(s) efficiently.
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References
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[2] Chen, Zhibo, and Tianyu He. "Learning based facial image compression with semantic fidelity metric," Neurocomputing vol.338 ,(2019), pp. 16-25.
[3] C. Chunlei , C. Li , Z. Xiaoyun and G., Zhiyong , ” End-to-end optimized ROI image compression”. IEEE Transactions on Image Processing, Vol. 29, (2019 ),pp. 3442-3457.
[4] R. Christian , B. Kevin , H. Nathania E and B. Christoph ,” Effects of image compression on face image manipulation detection: A case study on facial retouching”, arXiv preprint arXiv:2103.03654 .2021.
[5] M. Krishna, B. Rani SBP ,B.Rambabu, P. Vallabaneni and M.B,” A review on image compression techniques” in Communication Software and Networks, Springer, Singapore. pp. 271-279. 2021
[6] R. Majid, and P.W. Jones. Digital image compression techniques. Vol. 7. SPIE press, 1991.
[7] C. Kenneth R. Digital image processing. Prentice Hall Press, 1996.
[8] S. David. Data compression: the complete reference. Springer Science & Business Media, 2004.
[9] F. Yuval. Fractal image compression: theory and application. Springer Science & Business Media, 2012.
[10] T. David, and M. Marcellin. “JPEG2000 image compression fundamentals, standards and practice: image compression fundamentals, standards and practice”. Vol. 642, (2012) Springer Science & Business Media..
[11] S. Khalid. Introduction to data compression. Morgan Kaufmann, 2017.
[12] K. Fouzia I., and P. E. Ajmire. "A survey of lossless image compression techniques." International Journal of Electrical Electronics & Computer Science Engineering vol.5, pp. 39-42.2018.
[13] M. Baback, P.Alex.” An automatic system for model-based coding of faces”. In: Proceedings DCC'95 Data Compression Conference. IEEE, (1995), pp. 362-370 .
[14] Q. Zhu and S. Wang.” Color personal ID photo compression based on object segmentation”. In: PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing,. IEEE, (2005), pp. 566-569 .
[15] E. Michael, G. Roman, and K. Ron. “Low bit-rate compression of facial images”. IEEE Transactions on Image Processing, , vol. 16.9, (2007), pp. 2379-2383.
[16] Z. Li, W. Guo-You; and W. Chen. “Formal photograph compression algorithm based on object segmentation”. International Journal of Automation and Computing, ,Vol. 5.3, (2008) , pp. 276-283 .
[17] H.Jun , L. Ran , C. Yan and S. Haojie.” Passport photo compression technique with jpeg2000”. In: 2013 IEEE International Conference on Mechatronics and Automation.. IEEE, (2013), pp. 1389-1393.
[18] I. Ram, I. Cohen and M. Elad, “ Facial Image Compression using Patch-Ordering-Based Adaptive Wavelet Transform”, Signal Processing Letters, IEEE ,Vol. 21,( 2014), pp. 1270-1274.
[19] B. Tariq and S. Jan. “Efficient color passport size photograph compression using ROI coding”. In: 2015 International Conference on Applied and Theoretical Computing and Communication Technology (iCATccT). IEEE, (2015), pp. 146-151.
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Published
2022-08-15
How to Cite
AL-Obaidi, M. B., & AL-Khafaji, G. K. (2022). Passport Photo Compression: A Review. Journal of Al-Qadisiyah for Computer Science and Mathematics, 14(3), Comp Page 112–119. https://doi.org/10.29304/jqcm.2022.14.3.998
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Computer Articles
