SciRepID - Penerapan Deep Convolutional Autoencoder dengan Skip Connection Untuk Menghilangkan Derau pada Citra Digital

📅 11 February 2026
DOI: 10.62951/bridge.v4i1.823

Penerapan Deep Convolutional Autoencoder dengan Skip Connection Untuk Menghilangkan Derau pada Citra Digital

Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Asosiasi Riset Teknik Elektro dan Informatika Indonesia (ARTEII)

📄 Abstract

Digital images often experience noise disturbances that can reduce visual quality and interfere with the image analysis process. One common type of noise is salt and pepper noise, especially in grayscale images, which is characterized by the random appearance of black and white dots. This study applied the Deep Convolutional Autoencoder (DCAE) method with a skip connection mechanism to eliminate salt and pepper noise in grayscale images measuring 256×256 pixels. The dataset used consists of 300 pairs of clean images and noisy images that have gone through the preprocessing stage, including normalization and data augmentation. The model was trained using an Adam optimizer with a Mean Squared Error (MSE) loss function and validated through a train-test split scheme to avoid overfitting. Model performance was evaluated using Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM) metrics. The test results showed that the DCAE model with skip connections was able to effectively reduce noise while maintaining the main structure of the image based on the PSNR and SSIM values obtained, and showed better performance than conventional median filters. In addition, the model was successfully implemented into a Streamlit-based application to perform the image denoising process interactively, making it easier for users to experiment and visualize results in real-time.

🔖 Keywords

#Auto-Encoder; Deep Learning; Image Processing; Noise Elimination; Streamlit

ℹ️ Informasi Publikasi

Tanggal Publikasi
11 February 2026
Volume / Nomor / Tahun
Volume 4, Nomor 1, Tahun 2026

📝 HOW TO CITE

Martha Richa Anggraeni; Bagus Satrio Waluyo Poetro, "Penerapan Deep Convolutional Autoencoder dengan Skip Connection Untuk Menghilangkan Derau pada Citra Digital," Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi, vol. 4, no. 1, Feb. 2026.

ACM
ACS
APA
ABNT
Chicago
Harvard
IEEE
MLA
Turabian
Vancouver

🔗 Artikel Terkait dari Jurnal yang Sama

📊 Statistik Sitasi Jurnal

Tren Sitasi per Tahun