#image quality assessment
5 papers · 1 filter
Image Quality Dependent Degradation for AI Systems
Yannick Kees, Elena Hoemann, Frank Köster +1
The paper proposes a method to estimate image quality using normalizing flows and adjust object detection confidence thresholds, enabling safer AI-driven perception in low-quality…
ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking
Kanglong Fan, Tianhe Wu, Wen Wen +6
The paper introduces ME‑IQA, a test‑time memory‑enhanced re‑ranking framework that leverages a memory bank of reasoning summaries to retrieve similar images, converts a vision‑lang…
IQA-T1: Tool-based Visual Evidence Reasoning for Image Quality Assessment
Jinjian Wu, Jiaqi Tang, Wei Wei +5
The paper introduces IQA-T1, a framework that combines multimodal large language models with specialized visual analysis tools to generate explicit evidence (e.g., noise residual m…
Lost in Visual Translation: A VLM-Assisted Perceptual-Semantic Coherence Framework for EEG-to-Image Reconstruction
Sukriti Tiwari, BHVSP Subrahmanyam, Nidhi Goyal +1
The paper introduces a framework that uses vision‑language models to assess EEG‑to‑image reconstructions by measuring both perceptual and semantic alignment, proposing new scores (…
Filtering-out poor-quality images for data preparation
Roopdeep Kaur, Gour Karmakar, Muhammad Imran
The paper introduces a method that uses an image quality assessment metric and an optimal threshold to filter out low‑quality images, improving data preparation for tasks such as t…