A color vision approach based on the autoencoder technique and deep neural networks for reconstructing color images under various lighting conditions

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.

Bibliografski detalji
Glavni autori:	Faisal, Asm, Ahmad, Ashhab, Tazwar, Asif
Daljnji autori:	Alam, Md. Ashraful
Format:	Disertacija
Jezik:	English
Izdano:	Brac University 2024
Teme:	Autoencoder Image reconstruction Deep neural networks Color vision Neural networks (Computer science)
Online pristup:	http://hdl.handle.net/10361/23943

Similar Items

A color vision approach for reconstructing color images in different lighting conditions based on auto encoder technique using deep neural networks
od: Gomes, Paul Richie, i dr.
Izdano: (2021)

A color vision approach considering weather conditions based on auto encoder techniques using deep neural networks
od: Raj, Mohammad Mainuddin, i dr.
Izdano: (2021)

Automated fabric color prediction
od: Muhtashima, Fawzia, i dr.
Izdano: (2024)

A color vision approach considering Reflection Co efficient based on Autoencoder techniques using deep neural networks
od: Mahmud, Shakib Izaz, i dr.
Izdano: (2022)

Smoke detection using deep Convolutional neural network
od: Niloy, Wahidul Hasan, i dr.
Izdano: (2021)

Real-time fire detection based on feature analysis using enhanced color segmentation and novel foreground extraction
od: Khan, Rubayat Ahmed
Izdano: (2022)

KDANet: optical recognition for Bangla language using deep neural networks
od: Rabbi, Kazi Kamruzzaman, i dr.
Izdano: (2023)

Color drawing : design drawing skills and techniques for architects, landscape architects, and interior designers /
od: Doyle, Michael E.
Izdano: (1999)

Mastering color digital photography /
od: Freeman, Michael, 1945-
Izdano: (2006)

Exploring deep features: deeper fully convolutional neural network for image segmentation
od: Kamran, Sharif Amit, i dr.
Izdano: (2017)

Single and multi-view 2D image processing for enhanced 3D object reconstruction
od: Ghosh, Swapnil, i dr.
Izdano: (2024)

The color purple : a memory book of the Broadway musical /
od: Walker, Alice
Izdano: (2004)

Deep 3D convolutional neural network in early detection of Lung cancer
od: Hossain, Khandoker Jobayer, i dr.
Izdano: (2019)

Normalizing images in various weather and lighting conditions using Pix2Pix GAN
od: Tasnim, Sanjida, i dr.
Izdano: (2024)

Quantitative analysis of mercury in some food colors
od: Faizah, Kifayat
Izdano: (2021)

Segmentation based Kidney Tumor Classification using Deep Neural Network
od: Mehedi, Md Humaion Kabir, i dr.
Izdano: (2022)

Learning a deep neural network for predicting phishing website
od: Das, Robat, i dr.
Izdano: (2019)

An introduction to neural networks /
od: Anderson, James A.
Izdano: (1995)

Visual object recognition using deep convolutional neural network
od: Ahmed, Sabbir
Izdano: (2017)

Semantic text extraction from CAPTCHA using Neural Networking
od: Chowdhury, Iftekhar Kabir, i dr.
Izdano: (2022)

Image classification using deep neural network for efficient identification of traffic sign
od: Saha, Sourajit
Izdano: (2018)

Detecting different stages of Alzheimer’s disease from MRI images using deep learning and computer vision techniques
od: Rahman, Fardin, i dr.
Izdano: (2024)

An improved image registration technique for shape reconstruction
od: Roy, Biprojit, i dr.
Izdano: (2017)

Semantic segmentation of tumor from 3D Structural MRI using U-Net Autoencoder
od: Farzana, Maisha, i dr.
Izdano: (2021)

Classification of Shot Selection by Batsman in Cricket Matches Using Deep Neural Network
od: Khan, Afsana, i dr.
Izdano: (2022)

Modelling option prices using neural networks
od: Nasim, Ahmed Zohair, i dr.
Izdano: (2020)

Fundamentals of neural networks : architectures, algorithms, and applications /
od: Fausett, Laurene V.
Izdano: (1994)

Classification of different magnetic structures from image data using deep neural networks
od: Ibn Hasib, Fahad, i dr.
Izdano: (2023)

Neural networks : a comprehensive foundation /
od: Haykin, Simon S., 1931-
Izdano: (1999)

Evaluating CNN and Vvsion transformer models for Mango Leaf variety identification
od: Labiba, Zaima, i dr.
Izdano: (2024)

Pneumonia Disease detection using the convolutional neural network
od: Ashrafee, Md. Iftid, i dr.
Izdano: (2024)

Obscure face recognition using deep neural networks
od: Akash, MD Shahadat Hossain, i dr.
Izdano: (2023)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
od: Khilji, Ishfaque Qamar, i dr.
Izdano: (2021)

Rebuilding war-torn states
od: Castillo, Graciana del

An in depth analysis of neural network with application in finance
od: Tasnim, Noshin, i dr.
Izdano: (2019)

An efficient deep learning approach for brain tumor detection using 3D convolutional neural network
od: Ali, Syed Muaz
Izdano: (2023)

Early detection of cervical cancer using deep neural networks
od: Akhund, Atoshi, i dr.
Izdano: (2023)

Visual speech recognition using artificial neural networking
od: Sharmili, Nowshin, i dr.
Izdano: (2018)

Analysis of uncertainty in different neural network structures using monte carlo dropout
od: Islam, Md. Farhadul, i dr.
Izdano: (2024)

Factors affecting buying behavior of Color CI sheets of Jalalabad Steel Limited
od: Kazi, Fahim
Izdano: (2024)