Augment image data using noise

• Main Author: Muhammad Danish Bin Mohamad Nasir
• Other Authors: Wang Lipo
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Densenet; CNN; AUC; SDV; PSNR; SSIM; Rayleigh; Uniform; Laplace; Negative-exponential; Exponential; Augment; Noise; Dataset; Code
• Online Access: https://hdl.handle.net/10356/176469
• Institution: Nanyang Technological University

Convolutional Neural Network (CNN) models for image classification have made strides in various fields such as identifying diseases in the medical industry. However, their performance is greatly affected by the data used to train them. Factors such as data quality, generalized data, and data quantit...