4 papers
A Multi-Scale Spatial Attention-Based Zero-Shot Learning Framework for Low-Light Image Enhancement
Muhammad Azeem Aslam, Hassan Khalid, Nisar Ahmed
Low-light image enhancement remains a challenging task, particularly in the absence of paired training data. In this study, we present LucentVisionNet, a novel zero-shot learning f…
Hybrid Attention Network for Accurate Breast Tumor Segmentation in Ultrasound Images
Muhammad Azeem Aslam, Asim Naveed, Nisar Ahmed
Breast ultrasound imaging is a valuable tool for early breast cancer detection, but automated tumor segmentation is challenging due to inherent noise, variations in scale of lesion…
MetaQAP - A Meta-Learning Approach for Quality-Aware Pretraining in Image Quality Assessment
Nisar Ahmed, Gulshan Saleem, Nazik Alturki +1
Image Quality Assessment (IQA) is a critical task in a wide range of applications but remains challenging due to the subjective nature of human perception and the complexity of rea…
Blind Image Quality Assessment Using Multi-Stream Architecture with Spatial and Channel Attention
Muhammad Azeem Aslam, Xu Wei, Hassan Khalid +4
BIQA (Blind Image Quality Assessment) is an important field of study that evaluates images automatically. Although significant progress has been made, blind image quality assessmen…