A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement
Digital preservation to preserve information in ancient manuscripts is often not optimal because of the object’s condition, which has degraded over time. Therefore, quality enhancement is required through several image processing techniques to optimize the readability of the information w...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/10902402/ |
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| author | Imam Yuadi Novanto Yudistira Habiddin Habiddin Khoirun Nisa' |
| author_facet | Imam Yuadi Novanto Yudistira Habiddin Habiddin Khoirun Nisa' |
| author_sort | Imam Yuadi |
| collection | DOAJ |
| description | Digital preservation to preserve information in ancient manuscripts is often not optimal because of the object’s condition, which has degraded over time. Therefore, quality enhancement is required through several image processing techniques to optimize the readability of the information within them. This study explores five types of filters, Gaussian Blur, Adaptive Thresholding, Canny Edge Detection, Morphology, and Sobel Algorithm, to address the readability challenges of three types of ancient Javanese manuscripts, Serat Piwulang Cablaka, Serat Pakem Gancaripun Lelampahan, and Serat Piwulang Nulis. This study evaluates how each filter enhances visual clarity while maintaining structural integrity using evaluation metrics such as the Structural Similarity Index Measure (SSIM) and Normalized Cross-Correlation (NCC). Based on the evaluation of the result, this study revealed that Gaussian Blur performed well, attaining an average SSIM value of 0.91, signifying its proficiency in preserving the original visual structure and texture. Furthermore, this study emphasizes the potential of combining Gaussian Blur with techniques like Adaptive Thresholding and Morphologyological operations to achieve an optimal balance between improving legibility and maintaining the authenticity of manuscripts. |
| format | Article |
| id | doaj-art-ddbb449bb00847ae8f2f276e73bf8291 |
| institution | DOAJ |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-ddbb449bb00847ae8f2f276e73bf82912025-08-20T03:00:01ZengIEEEIEEE Access2169-35362025-01-0113368453685710.1109/ACCESS.2025.354545510902402A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts EnhancementImam Yuadi0https://orcid.org/0000-0002-7848-1671Novanto Yudistira1https://orcid.org/0000-0001-5330-5930Habiddin Habiddin2https://orcid.org/0000-0002-3947-2844Khoirun Nisa'3https://orcid.org/0009-0007-5693-2041Department of Information and Library Science, Airlangga University, Surabaya, East Java, IndonesiaDepartment of Informatics Engineering, Brawijaya University, Malang, East Java, IndonesiaDepartment of Chemistry, State University of Malang, Malang, East Java, IndonesiaDepartment of Information and Library Science, Airlangga University, Surabaya, East Java, IndonesiaDigital preservation to preserve information in ancient manuscripts is often not optimal because of the object’s condition, which has degraded over time. Therefore, quality enhancement is required through several image processing techniques to optimize the readability of the information within them. This study explores five types of filters, Gaussian Blur, Adaptive Thresholding, Canny Edge Detection, Morphology, and Sobel Algorithm, to address the readability challenges of three types of ancient Javanese manuscripts, Serat Piwulang Cablaka, Serat Pakem Gancaripun Lelampahan, and Serat Piwulang Nulis. This study evaluates how each filter enhances visual clarity while maintaining structural integrity using evaluation metrics such as the Structural Similarity Index Measure (SSIM) and Normalized Cross-Correlation (NCC). Based on the evaluation of the result, this study revealed that Gaussian Blur performed well, attaining an average SSIM value of 0.91, signifying its proficiency in preserving the original visual structure and texture. Furthermore, this study emphasizes the potential of combining Gaussian Blur with techniques like Adaptive Thresholding and Morphologyological operations to achieve an optimal balance between improving legibility and maintaining the authenticity of manuscripts.https://ieeexplore.ieee.org/document/10902402/Image processingimage denoisingthresholdingimage edge detectionmorphological operationsancient manuscript |
| spellingShingle | Imam Yuadi Novanto Yudistira Habiddin Habiddin Khoirun Nisa' A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement IEEE Access Image processing image denoising thresholding image edge detection morphological operations ancient manuscript |
| title | A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement |
| title_full | A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement |
| title_fullStr | A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement |
| title_full_unstemmed | A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement |
| title_short | A Comparative Study of Image Processing Techniques for Javanese Ancient Manuscripts Enhancement |
| title_sort | comparative study of image processing techniques for javanese ancient manuscripts enhancement |
| topic | Image processing image denoising thresholding image edge detection morphological operations ancient manuscript |
| url | https://ieeexplore.ieee.org/document/10902402/ |
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