Master's by Research Student (Full-Time) under Fundamental Research Grant Scheme (FRGS) 2025

Master's by Research Student (Full-Time) under Fundamental Research Grant Scheme (FRGS) 2025

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Call for Master's by Research Student (Full-Time) under Fundamental Research Grant Scheme (FRGS) 2025

We are seeking passionate, motivated, and research-driven candidates to join our FRGS 2025 project titled : “A New Adaptive Color Cast Removal Algorithm for Varying Illumination Conditions Based on Convolutional Vision Transformer Method.”

Project Duration : 2 years

Monthly Stipend : RM 2,300

Mode : Full-Time Master's by Research

About the Project

This research aims to develop an adaptive algorithm that removes color cast to enhance visibility and image quality in computer vision applications such as traffic monitoring, human and vehicle tracking, and video surveillance. By addressing color distortion from varying illumination, the work leverages a hybrid Convolutional Vision Transformer (CvT) to extract global and local features for accurate illumination map estimation based on Retinex theory. The goal is to advance image restoration techniques and enable reliable, high-quality performance in real-world computer vision systems.

Key Responsibilities

• Formulate a common feature between images in various illumination conditions.
• Develop an adaptive color cast removal algorithm for varying illumination conditions based on the CvT method.
• Conduct visual simulations and quality assessment to validate the effectiveness of the proposed method.
• Validate models using real-world or simulated datasets.
• Evaluate the performance of the proposed method with the state-of-the-art methods.

Eligibility Requirements

Why Join Us?

How to Apply

Interested candidates are invited to submit their

to :

Subject : Application – Master’s by Research – FRGS 2025

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