5 papers
Image Quality Assessment: Exploring Quality Awareness via Memory-driven Distortion Patterns Matching
Xuting Lan, Mingliang Zhou, Xuekai Wei +5
Existing full-reference image quality assessment (FR-IQA) methods achieve high-precision evaluation by analysing feature differences between reference and distorted images. However…
Exploring Similarity between Neural and LLM Trajectories in Language Processing
Xin Xiao, Kaiwen Wei, Jiang Zhong +2
Understanding the similarity between large language models (LLMs) and human brain activity is crucial for advancing both AI and cognitive neuroscience. In this study, we provide a…
Image Quality Assessment: Exploring Regional Heterogeneity via Response of Adaptive Multiple Quality Factors in Dictionary Space
Xuting Lan, Mingliang Zhou, Jielu Yan +4
Given that the factors influencing image quality vary significantly with scene, content, and distortion type, particularly in the context of regional heterogeneity, we propose an a…
Image Quality Assessment: Investigating Causal Perceptual Effects with Abductive Counterfactual Inference
Wenhao Shen, Mingliang Zhou, Yu Chen +4
Existing full-reference image quality assessment (FR-IQA) methods often fail to capture the complex causal mechanisms that underlie human perceptual responses to image distortions,…
Image Quality Assessment: Enhancing Perceptual Exploration and Interpretation with Collaborative Feature Refinement and Hausdorff distance
Xuekai Wei, Junyu Zhang, Qinlin Hu +4
Current full-reference image quality assessment (FR-IQA) methods often fuse features from reference and distorted images, overlooking that color and luminance distortions occur mai…