KOMPRESI CITRA DIGITAL ORNAMEN UKIRAN BALI MENGGUNAKAN METODE RLE
DOI:
https://doi.org/10.59819/jmti.v16i1.6164Keywords:
Digital Image Compression, Run Length Encoding, Balinese Carved Ornament, Lossless Compression, Cultural Heritage DigitizationAbstract
This study investigates the implementation of Run Length Encoding (RLE) for compressing digital images of Balinese carved ornaments as a representation of local cultural heritage. The increasing need for high-resolution digital documentation of cultural artifacts leads to larger file sizes and higher storage and transmission demands. This research adopts an experimental quantitative approach to evaluate compression performance based on compression ratio, file size reduction, and processing time. The results demonstrate that RLE produces compression ratios ranging from 17.04% to 79.08%, depending on the visual complexity and repetitive structure of the ornament patterns. Images with dominant homogeneous areas and repetitive motifs achieved higher compression efficiency, while highly detailed and complex textures resulted in lower ratios. All decompressed images were identical to the original files, confirming that RLE operates as a lossless compression method and preserves visual integrity. The findings highlight the strong relationship between visual structure and algorithmic efficiency, contributing to the integration of information technology in the digital preservation of Balinese cultural artifacts.
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References
Al-khassaweneh, M., & Alshorman, O. (2026). Frei-Chen bases based lossy digital image compression technique. 20(1), 105–118. https://doi.org/10.1016/j.aci.2019.12.004
Embuldeniya, T. M., & Meegama, R. G. N. (2025). Modified Discrete Wavelet Transformation to Compress DICOM Medical Images with Run-Length Encoding. 18(May).
Huda, H. H. (2020). Lossless Text Image Compression using Two Dimensional Run Length Encoding. 4(2), 75–78. https://doi.org/10.15575/join.v4i2.330
Idrais, A. R., Aljarrah, I., & Al-khaleel, O. (2021). A spatial image compression algorithm based on run length encoding. 10(5), 2607–2616. https://doi.org/10.11591/eei.v10i5.2563
Kolekar, M. H., Jha, C. K., & Kumar, P. (2022). ECG Data Compression Using Modified Run Length Encoding of Wavelet Coefficients for Holter Monitoring. IRBM, 43(5), 325–332. https://doi.org/10.1016/j.irbm.2021.10.001
Lee, J. J. (2023). SnakeVoxFormer : Transformer-based Single Image Voxel Reconstruction with Run Length Encoding arXiv : 2303 . 16293v1 [ cs . CV ] 28 Mar 2023.
Mishra, M., & Gupta, G. Sen. (2022). Investigation of Energy Cost of Data Compression Algorithms in WSN for IoT Applications.
Mufid, M. R., & Mawaddah, S. (2022). Image Data Compression in the Public Reporting System in Lamongan using the Huffman Method and Run Length Encoding. 647, 887–891.
Peng, X., Zhang, Y., Peng, D., & Zhu, J. (2024). Selective Run-Length Encoding. Data Structures and Algorithms, 12(1).
Shi, J. (2026). Column Partition and Permutation for Run Length Encoding in Columnar Databases. February, 13–15. https://doi.org/10.1145/3318464.3384413
Zafar, M., & Avanaki, K. (2025). Adaptive Run- Length Encoded DCT : A High- Fidelity Compression Algorithm for Real- Time Photoacoustic Microscopy Imaging in LabVIEW. 1–9. https://doi.org/10.1002/jbio.70043
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