Papers Image Quality Assessment
“Image Quality Assessment” 태그가 달린 논문 894편 · 필터 해제
Rate-distortion optimization for full-reference image quality metrics via stochastic Hessian estimates
Block-based video codecs select coding parameters based on the input by optimizing a rate-distortion trade-off. The conventional distortion choice, the sum of squared errors (SSE), simplifies parameter selection: the SSE…
Image Quality AssessmentFoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
Reference-based image quality assessment (IQA) metrics aim to reflect how humans perceive the perceptual distance between a pair of images. To learn how the human visual system (HVS) operates, recent reference-based IQA …
Image Quality AssessmentToward Vision Language Model-based Assessment of Clinical Quality and Usability of LGE-MR Images for Cardiac Ablation Planning
LGE cardiac MRI is widely used for left atrial fibrosis assessment and ablation planning in atrial fibrillation patients as knowledge of fibrotic tissue regions identified from LGE-MRI is critical for catheter ablation. …
Image Quality AssessmentLatent Ordinal Evidence, Misaligned Outputs: Inference-Time Ordinal Lens Alignment for Multimodal LLMs
Multimodal LLMs apply the language model interface to visual inputs, where ordinal regression tasks such as age estimation, image quality assessment, and disease grading require autoregressive decisions over ordered clas…
Image Quality AssessmentAge EstimationMR-IQA-2: Faithful Image Quality Reflection via Fine-Grained Credit Assignment
Multimodal large language models (MLLMs) have shown strong potential for image quality assessment (IQA) by improving consistency between quality ratings and their underlying reasoning. However, most approaches supervise …
Image Quality AssessmentA Subjective Study on a New Sharpness Informed Class of Metrics
Perceptual loss functions in Deep Neural Network (DNN) deblurring architectures improve the overall quality of restored images. However, few focus on explicitly targeting sharpness in the restorations. We conduct a subje…
Image Quality AssessmentSciQNet: Two-Stage Multimodal Adaptation for Scientific Image Quality Assessment
Scientific images are essential for communicating experimental observations, quantitative evidence and conceptual knowledge. Unlike natural images, their quality depends on both visual clarity and scientific informativen…
Visual Question AnsweringImage Quality Assessment3DGSI-Assessor: A Large-Scale Dataset and An LMM-based Method for 3D Gaussian Splatting Image Quality Assessment
3D Gaussian Splatting (3DGS) has become a dominant representation for real-time novel view synthesis (NVS), yet its storage footprint makes compression indispensable for practical deployment. 3DGS training and compressio…
Image Quality AssessmentNovel View SynthesisSpace2Ground 2.0: A Multi-Source Dataset and Framework for Agricultural Monitoring through Fusion of Street-Level and Satellite Imagery
Accurate and scalable parcel-level agricultural monitoring remains challenging because satellite Earth Observation alone provides only an overhead perspective of agricultural parcels, while optical observations are furth…
Image Quality AssessmentCrop ClassificationSciFigQual-Bench: A Benchmark for Scientific Figure Quality Assessment with Full-Manuscript Context
Scientific images are the core elements of presenting experimental conclusions, elaborating system architecture, and supporting comparative arguments in scientific papers. However, existing image quality assessment (IQA)…
Image Quality AssessmentSpatialQ: Understanding 3D Gaussian Splatting Scene Quality via Visual-based MLLM
3D Gaussian Splatting (3DGS) has emerged as an effective representation for novel view synthesis and 3D scene reconstruction, creating an increasing demand for reliable quality assessment. Unlike conventional image quali…
Image Quality AssessmentRepresentation LearningNovel View SynthesisMultimodal ReasoningRethinking Clinical Relevance in Chest X-ray Machine Learning: How Evaluation References Define Performance
Chest X-ray (CXR) machine learning relies heavily on automated evaluation using reference standards that aim to approximate clinical judgment. However, commonly used report-derived labels for pathology classification or …
Image Quality AssessmentA Reference-Free Framework for Evaluating Single-Frame ISP Pipelines
Evaluating camera image signal processing (ISP) pipelines requires measuring low-level artifacts introduced by operations such as denoising, demosaicing, tone mapping, and compression. Blind image quality assessment (IQA…
Image Quality AssessmentIQA-T1: Tool-based Visual Evidence Reasoning for Image Quality Assessment
Image Quality Assessment (IQA) in open-world environments remains challenging due to limited generalization and interpretability. Recent approaches based on multimodal large language models (MLLMs) introduce textual reas…
Image Quality AssessmentMultimodal ReasoningFiltering-out poor-quality images for data preparation
Filtering noise is a fundamental part of data preparation that enhances image quality for applications such as object segmentation, detection, and recognition. Various noise reduction techniques are proposed in the liter…
Image Quality AssessmentTraffic Sign RecognitionObject SegmentationAutonomous VehiclesEnhancing the KidSat Model: Integrating Geographical Encoding and Data Quality Assessment for Childhood Poverty Prediction
Accurate poverty mapping using satellite imagery is often hindered by (i) noisy and sparse survey-derived supervision, (ii) image quality issues such as cloud cover and image corruption, and (iii) lack of explicit spatia…
Image Quality AssessmentContrastive Order Learning: A General Framework for Ordinal Regression
We propose contrastive order learning (ConOrd), a contrastive learning framework for ordinal regression that integrates the strengths of contrastive learning and order learning. While contrastive learning effectively lev…
Image Quality AssessmentVideo Quality AssessmentContrastive LearningAge EstimationPatch Knowledge Transfer for Efficient AI-Generated Image Quality Assessment
With the rapid advancement of image generation technologies, perceptual quality assessment of AI-generated images has emerged as a crucial research direction in computer vision. The core challenge of this task lies in ac…
Image Quality AssessmentComputational EfficiencyKnowledge DistillationImage GenerationAssessing VLM Reliability for Medical Image Quality Evaluation Under Corruption and Bias
Vision-Language Models (VLMs) are increasingly applied in medical tasks such as pathology description, report generation, and visual question answering. Medical Image Quality Assessment (MIQA) supports diagnostic accurac…
Visual Question AnsweringImage Quality AssessmentDroneIQA-VLE: Multi-Task Drone Image Quality Assessment via Vision-Language Ensemble
We present DroneIQA-VLE, our solution to the ICME 2026 Drone-IQA Grand Challenge on Target-aware Image Quality Assessment for Low-altitude UAV Images. The framework jointly predicts global, target, and background quality…
Image Quality Assessment