MD Tamim Hossain

MD Tamim Hossain

Lecturer, CSE, Premier University | Prospective Graduate Student

Research

Aligning Raw Images to Improve Low-Light Photos

Developed an image processing pipeline utilizing burst photography to enhance the signal-to-noise ratio (SNR) in extremely low-light conditions, with a custom dataset created for evaluation by manipulating handheld RAW image data and aligning and merging burst images to produce high-quality, low-noise results.

Nobanno

An android application for rice leaf disease recognition using machine learning was developed to detect 3 of the most common rice leaf diseases, with InceptionV3 model achieving the highest accuracy on the dataset used in the project.