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All Journal e-GIGI ODONTO Dental Journal Jurnal Kesehatan Gigi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Kreativitas PKM Infotekmesin Odonto dental journal Journal Medical Informatics Technology
Moh. Yusuf
Departement Of Oral And Maxillofacial Radiology And Forensics, Universitas Islam Sultan Agung
Computer Science & IT Dentistry Electrical & Electronics Engineering Engineering Health Professions Mechanical Engineering Medicine & Pharmacology Nursing Public Health

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Enhancing the Quality of Digital Panoramic Radiographs with Median Filtering and Histogram Equalization Techniques Yusuf, Moh.; Novianty, Shella Indri; Maharani, Bella
Journal Medical Informatics Technology Volume 3 No. 4, December 2025
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v3i4.114

Abstract

Digital panoramic radiographs often suffer from noise and reduced contrast, which can compromise diagnostic accuracy and treatment planning. Conventional enhancement methods rely on default Carestream software with manual adjustments, which may be inconsistent and time-consuming. This study aims to improve the quality of digital panoramic radiographs by applying Median Filtering (MF) to reduce noise and Histogram Equalization (HE) to enhance contrast using MATLAB R2022a. An analytical experimental design was conducted on 155 digital panoramic radiograph images, sampled from a total population of 254 images collected between July 2021 and July 2022 at the Dental Radiology Installation, Islamic Dental and Oral Education Hospital of Sultan Agung Semarang (RSIGMP-SA), using the Slovin formula. Radiograph files in DICOM format were converted to JPEG for analysis. Image quality was evaluated using Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR), and statistical significance was analyzed with the paired T-test in SPSS. The results indicated normal distribution for all parameters (p>0.05) and significant improvements in SNR and CNR after enhancement (T=-14.426 for SNR, T=-41.673 for CNR, p<0.05). These findings demonstrate that MF effectively enhances image sharpness, while HE improves contrast, resulting in clearer and more diagnostically reliable panoramic radiographs. The proposed approach provides a standardized and reproducible method for image quality improvement and offers potential support for clinical decision-making.
Co-Authors Alzami, Farrikh Andina Rizkia Putri Kusuma Ashari, Ayu Bakar, Abu Eko Hadianto, Eko Erdianto Setya Wardhana Gieta Hariyani Widyawati Grahita Aditya Hadi, Heru Pramono Isa Anshori Kusuma Arbianti Lalang Erawan Maharani, Bella Maila Samicha Salwa Megantara, Rama Aria Recita Indraswary Ricardus Anggi Pramunendar Ristiwi Suhertam Rohman, M. Hilma Minanur Saputra, Resha Mahardhika Sa’adah, Fathimah Fitria Shella I. Novianti Shella Indri Noviani Shella Indri Novianty, Shella Indri Silvia Vera Indrawati Suhartono, Budi Sukamto, Titien Suhartini Syuhada Setiawan Vivi A. Noor Yuventius Tyas Catur Pramudi Zaenal Arifin