Image Quality Restoration on Historical Artifacts Using Histogram Equalization and Contrast Stretching Methods
Abstract
The aim of this research was to enhance the image quality of historical objects that undergo quality decline such as noise, low contrasting images, and poor sharpness. Contrast stretching and Histogram equalization are two methods of image enhancement which is used to expand and smooth out the grayscale of an image . The purpose of this study is to develop a system for enhancing the quality of images of historical heritage objects applying contrast stretching and histogram equalization techniques. Concerning the selection of the sample in this research, the data is RGB image data with a total of 10 test images in . mat file format and the process employed is in Matlab programming language The stimulation of neuron is in jpg format. The works on the contrast stretching and histogram equalization from the sample 1 to sample 10 image the results were highest on test image_citra_1 with the contrast stretching results on the base of PSNR = 32. DOS, = 61 dB and MSE = 35. 86 Db and PSNR = 19. 13 Db and MSE = 794 . 76 in histogram equalization calculations.
References
Abgaz, Y., Rocha Souza, R., Methuku, J., Koch, G., & Dorn, A. (2021). A methodology for semantic enrichment of cultural heritage images using artificial intelligence technologies. Journal of Imaging, 7(8), 121. https://doi.org/10.3390/jimaging7080121
Afrina, A., Abbas, E. W., & Susanto, H. (2021). The Role of Historical Science in Social Studies Learning Materials for Increasing Values of Student's Nationalism. The Innovation of Social Studies Journal, 3(1), 1-8. https://doi.org/10.20527/iis.v3i1.3769
Aidilia, Y., & Sriani, S. (2024). Image Quality Restoration on Historical Artifacts Using Histogram Equalization and Contrast Stretching Methods. Journal La Multiapp, 5(4), 286-303. https://doi.org/10.37899/journallamultiapp.v5i4.1442
Brasington, A., Sacco, C., Halbritter, J., Wehbe, R., & Harik, R. (2021). Automated fiber placement: A review of history, current technologies, and future paths forward. Composites Part C: Open Access, 6, 100182. https://doi.org/10.1016/j.jcomc.2021.100182
Chatulistiwa, D., Santoso, G., Mustika, N., & Khairunnisa, S. (2024). Peran Museum Pendidikan Nasional Sebagai Media Dalam Pembelajaran Sejarah. Jurnal Pendidikan Transformatif, 3(2), 12-131. https://doi.org/10.9000/jpt.v3i2.1748
Dutsev, M. (2021, November). The Image of History as Artistic Dominant of the Urban Environment. In 3rd International Conference on Architecture: Heritage, Traditions and Innovations (AHTI 2021) (pp. 243-250). Atlantis Press. https://doi.org/10.2991/assehr.k.211125.175
Hassan, F. (2020). Tangible heritage in archaeology. Encyclopedia of global archaeology, 10489-10492. https://doi.org/10.1007/978-3-030-30018-0_1141
Hou, Y., Kenderdine, S., Picca, D., Egloff, M., & Adamou, A. (2022). Digitizing intangible cultural heritage embodied: State of the art. Journal on Computing and Cultural Heritage (JOCCH), 15(3), 1-20. https://doi.org/10.1145/3494837
Jinjin, G., Haoming, C., Haoyu, C., Xiaoxing, Y., Ren, J. S., & Chao, D. (2020). Pipal: a large-scale image quality assessment dataset for perceptual image restoration. In Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XI 16 (pp. 633-651). Springer International Publishing. https://doi.org/10.1007/978-3-030-58621-8_37
Jones, C., Duffy, C., Gibson, A., & Terras, M. (2020). Understanding multispectral imaging of cultural heritage: Determining best practice in MSI analysis of historical artefacts. Journal of Cultural Heritage, 45, 339-350. https://doi.org/10.1016/j.culher.2020.03.004
Kipfer, B. A. (2021). Mural tomb. Encyclopedic Dictionary of Archaeology, 903-903. https://doi.org/10.1007/978-3-030-58292-0_130843
Kuwoto, M. A., & Saputra, E. (2024). Memotret Pendidikan Multikultural dalam Pembelajaran Sejarah Lokal Upaya Membangkitkan Semangat Nasionalisme. Jurnal Artefak, 11(1), 1-14. http://dx.doi.org/10.25157/ja.v11i1.10271
Malik, U., Tissen, L. N., & Vermeeren, A. P. (2021). 3D reproductions of cultural heritage artifacts: evaluation of significance and experience. Studies in digital heritage, 5(1), 1-29. https://doi.org/10.14434/sdh.v5i1.32323
Martinez Espejo Zaragoza, I., Caroti, G., & Piemonte, A. (2021). The use of image and laser scanner survey archives for cultural heritage 3D modelling and change analysis. ACTA IMEKO, 10(1), 114-121. https://dx.doi.org/10.21014/acta_imeko.v10i1.847
Maulidan, A. C., & Darmawan, W. (2024). Implikasi Multikulturalisme dalam Pembelajaran Sejarah Sebagai Upaya Meningkatkan Kesadaran Persatuan Indonesia. Jurnal Artefak, 11(1), 49-64. http://dx.doi.org/10.25157/ja.v11i1.13671
Ningsih, D. R. (2020). Improving retinal image quality using the contrast stretching, histogram equalization, and CLAHE methods with median filters. International Journal of Image, Graphics and Signal Processing, 14(2), 30. https://doi.org/10.5815/ijigsp.2020.02.04
Nosirovna, M. A. (2021). Issues of history world civilization in the scientific research of rh suleymanov. Austrian Journal of Humanities and Social Sciences, (1-2), 20-24. . https://doi.org/10.29013/AJH-21-1.2-20-24
Paul, A., Bhattacharya, P., & Maity, S. P. (2022). Histogram modification in adaptive bi-histogram equalization for contrast enhancement on digital images. Optik, 259, 168899. https://doi.org/10.1016/j.ijleo.2022.168899
Pietroni, E., & Ferdani, D. (2021). Virtual restoration and virtual reconstruction in cultural heritage: Terminology, methodologies, visual representation techniques and cognitive models. Information, 12(4), 167. https://doi.org/10.3390/info12040167
Ramadhan, T., Wara, F. A., & Reja, I. D. (2023). Analisis Perbaikan Citra Digital Menggunakan Metode Contrast Stretching. Jurnal in Create (Inovasi Dan Kreasi Dalam Teknologi Informasi), 9(1), 66–76. https://increate.nusanipa.ac.id/index.php/increate/article/view/51/45
Sumarni. (2020). Penerapan Metode Iteratif Lanczos – Hybrid Regularization Pada Restorasi Citra Digital Hasil Scan. Jurnal Sisitem Komputer Dan Informatika (JSON), 2(1), 1–5. https://doi.org/10.30865/json.v2i1.2156
Tejedor, B., Lucchi, E., Bienvenido-Huertas, D., & Nardi, I. (2022). Non-destructive techniques (NDT) for the diagnosis of heritage buildings: Traditional procedures and futures perspectives. Energy and Buildings, 263, 112029. https://doi.org/10.1016/j.enbuild.2022.112029
Ulutas, G., & Ustubioglu, B. (2021). Underwater image enhancement using contrast limited adaptive histogram equalization and layered difference representation. Multimedia Tools and Applications, 80, 15067-15091. https://doi.org/10.1007/s11042-020-10426-2
Vijayalakshmi, D., & Nath, M. K. (2021). A novel contrast enhancement technique using gradient-based joint histogram equalization. Circuits, Systems, and Signal Processing, 40(8), 3929-3967. https://doi.org/10.1007/s00034-021-01655-3
Yahaghi, E., García, J. A. M., Movafeghi, A., & Mirzapour, M. (2024). Improving X-ray images of historically significant textiles. Journal of Cultural Heritage, 66, 415-425. https://doi.org/10.1016/j.culher.2023.12.020
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