A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
Auteurs principaux: | Faisal, Asm, Ahmad, Ashhab, Tazwar, Asif |
---|---|
Autres auteurs: | Alam, Md. Ashraful |
Format: | Thèse |
Langue: | English |
Publié: |
Brac University
2024
|
Sujets: | |
Accès en ligne: | http://hdl.handle.net/10361/23943 |
Documents similaires
-
A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
par: Gomes, Paul Richie, et autres
Publié: (2021) -
A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
par: Raj, Mohammad Mainuddin, et autres
Publié: (2021) -
Automated fabric color prediction
par: Muhtashima, Fawzia, et autres
Publié: (2024) -
A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
par: Mahmud, Shakib Izaz, et autres
Publié: (2022) -
Smoke detection using deep Convolutional neural network
par: Niloy, Wahidul Hasan, et autres
Publié: (2021)