PENERAPAN TEKNIK MULTI-LEVEL THRESHOLDING FUZZY ENTROPY DAN DIFFERENTIAL EVOLUTION PADA KOMPRESI CITRA

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Published: May 19, 2024
DOI: https://doi.org/10.36002/jutik.v10i2.2973
Keywords:
Kompresi citra, Multi-Level Thresholding, Fuzzy Entropy, Differential Evolution
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Ni Putu Widya Yuniari

Abstract

Kompresi citra memainkan peran penting dalam berbagai aplikasi, seperti penyimpanan digital,
transmisi citra, dan pemrosesan multimedia. Teknik kompresi citra yang efektif dapat secara signifikan
mengurangi ukuran file citra digital tanpa mengorbankan kualitas visualnya. Penelitian ini mengusulkan
evaluasi kinerja teknik kompresi citra dengan mengkombinasikan teknik Multi-Level Thresholding
dengan metode Fuzzy Entropy dan Differential Evolution. Metode ini diterapkan pada citra wajah dan
citra medis. Kinerja metode ini dinilai berdasarkan Peak Signal-to-Noise Ratio (PSNR), Structural
Similarity Index (SSIM), dan Feature Similarity Index Measure (FSIM). Analisis lebih lanjut diketahui
bahwa nilai PSNR, SSIM, dan FSIM bertambah seiring dengan kenaikan level threshold, dengan nilai
tertinggi diperoleh pada level threshold 40. Hal ini menunjukkan bahwa peningkatan level threshold
menghasilkan kompresi citra yang selaras tanpa mengorbankan kualitas visual citra terkompresi.

Article Details

How to Cite
Ni Putu Widya Yuniari. (2024). PENERAPAN TEKNIK MULTI-LEVEL THRESHOLDING FUZZY ENTROPY DAN DIFFERENTIAL EVOLUTION PADA KOMPRESI CITRA. Jurnal Teknologi Informasi Dan Komputer, 10(2). https://doi.org/10.36002/jutik.v10i2.2973
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Vol. 10 No. 2 (2024): Jurnal Teknologi Informasi dan Komputer
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This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

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