Implementasi Penggunaan Histogram Equalization Pada Citra Wajah

Authors

  • Shalaisha Amelia Putri Gemini Universitas Nusantara PGRI Kediri Indonesia
  • Resty Wulanningrum Universitas Nusantara PGRI Kediri Indonesia
  • Siti Rochana Universitas Nusantara PGRI Kediri Indonesia

DOI:

https://doi.org/10.29407/yqphtx80

Abstract

Penelitian ini berfokus pada implementasi Histogram Equalization (HE) dalam pengenalan wajah, yang bertujuan untuk meningkatkan kontras citra wajah guna memperbaiki akurasi identifikasi. Tantangan yang dihadapi adalah pencahayaan tidak merata dan noise akibat overenchancement. Solusi yang diusulkan adalah penerapan Histogram Equalization, yang meliputi perhitungan histogram dan pemetaan nilai intensitas untuk menghasilkan citra yang lebih jelas. Hasil penelitian ini menunjukkan bahwa Histogram Equalization berhasil meningkatkan kualitas citra, dengan nilai RMSE (Root Mean Square Error) berkisar antara 9.40 hingga 10.48 dan PSNR (Peak Signal-to-Noise Ratio) berkisar antara 27.27 hingga 28.67. hubungan anatar RMSE dan PSNR menunjukkan bahwa semakin rendah nilai RMSE, semakin tinggi nilai RMSE, semakin tinggi nilai PSNR, yang menandakan bahwa citra wajah hasil olahan lebih mendekati citra asli dan kualitasnya tetap baik.

Keywords:

Pengenalan Wajah, HE, Kontras Citra, RMSE, PSNR

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References

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[11] T. Kristantio, D. P. Pamungkas, and R. Wulanningrum, “Analisa Hasil Perbaikan Citra Menggunakan Histogram Equalization,” in Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 2023, pp. 505–511.

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Published

2025-07-10

Issue

Vol. 9 No. 1 (2025): Prosiding Seminar Nasional Inovasi Teknologi Tahun 2025

Section

Articles

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Copyright (c) 2025 Shalaisha Amelia Putri Gemini, Resty Wulanningrum, Siti Rochana

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How to Cite

Implementasi Penggunaan Histogram Equalization Pada Citra Wajah. (2025). Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi), 9(1), 504-511. https://doi.org/10.29407/yqphtx80