Conceptio › Archive › Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi metadata only

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

Martha Richa Anggraeni et al.
Bridge : Jurnal Publikasi Sistem Informasi dan Telekomunikasi · Papers
Open Source ↗
deep-learningimage-processing
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 appl
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 1003283
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive