Denoising Autoencoder and Contrast Enhancement for RGB and GS Images with Gaussian Noise

Denoising Autoencoder and Contrast Enhancement for RGB and GS Images with Gaussian Noise

Robust image processing systems require input images that closely resemble real-world scenes. However, external factors, such as adverse environmental conditions or errors in data transmission, can alter the captured image, leading to information loss. These factors may include poor lighting conditi...

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Main Authors: Armando Adrián Miranda-González, Alberto Jorge Rosales-Silva, Dante Mújica-Vargas, Edwards Ernesto Sánchez-Ramírez, Juan Pablo Francisco Posadas-Durán, Dilan Uriostegui-Hernandez, Erick Velázquez-Lozada, Francisco Javier Gallegos-Funes
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Mathematics
Subjects:
lighting
noise
contrast enhancement
autoencoder
Online Access:https://www.mdpi.com/2227-7390/13/10/1621
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