Results 81 to 90 of about 896 (171)
Overview of High-Dynamic-Range Image Quality Assessment
Journal of ImagingIn recent years, the High-Dynamic-Range (HDR) image has gained widespread popularity across various domains, such as the security, multimedia, and biomedical fields, owing to its ability to deliver an authentic visual experience.
Yue Liu +4 more
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Contrast and Visual Saliency Similarity-Induced Index for Assessing Image Quality
IEEE Access, 2018 Image quality that is consistent with human opinion is assessed by a perceptual image quality assessment (IQA) that defines/utilizes a computational model.
Huizhen Jia, Lu Zhang, Tonghan Wang
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LAR-IQA: A Lightweight, Accurate, and Robust No-Reference Image Quality Assessment Model
Recent advancements in the field of No-Reference Image Quality Assessment (NR-IQA) using deep learning techniques demonstrate high performance across multiple open-source datasets. However, such models are typically very large and complex making them not so suitable for real-world deployment, especially on resource- and battery-constrained mobile ...
Nasim Jamshidi Avanaki +3 more
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Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
Proceedings of the AAAI Conference on Artificial IntelligenceReinforcement fine-tuning (RFT) is a proliferating paradigm for LMM training. Analogous to high-level reasoning tasks, RFT is similarly applicable to low-level vision domains, including image quality assessment (IQA). Existing RFT-based IQA methods typically use rule-based output rewards to verify the model's rollouts but provide no reward supervision
Ziheng Jia +4 more
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ME-IQA: Memory-Enhanced Image Quality Assessment via Re-Ranking
CoRRReasoning-induced vision-language models (VLMs) advance image quality assessment (IQA) with textual reasoning, yet their scalar scores often lack sensitivity and collapse to a few values, so-called discrete collapse. We introduce ME-IQA, a plug-and-play, test-time memory-enhanced re-ranking framework.
Kanglong Fan +8 more
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Subjective and Objective Quality Assessment of Image: A Survey
Majlesi Journal of Electrical EngineeringWith the increasing demand for image-based applications, the efficient and reliable evaluation of image quality has increased in importance. Measuring the image quality is of fundamental importance for numerous image processing applications, where the ...
Pedram Mohammadi +2 more
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Tool-IQA: Augmenting Image Quality Assessment with Simple Tools
Vision-Language Models (VLMs) have been increasingly adopted for Image Quality Assessment (IQA). However, current methods typically employ a static one-shot scoring paradigm, despite the fact that humans assess image quality through dynamic visual inspection, e.g., selectively adjusting views to verify details and subtle artifacts.
Qin, Guanyi +6 more
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Grounding-IQA: Multimodal Language Grounding Model for Image Quality Assessment
CoRRThe development of multimodal large language models (MLLMs) enables the evaluation of image quality through natural language descriptions. This advancement allows for more detailed assessments. However, these MLLM-based IQA methods primarily rely on general contextual descriptions, sometimes limiting fine-grained quality assessment.
Zheng Chen, Yulun Zhang
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No-Reference Image Quality Assessment Based on Multi-Task Generative Adversarial Network
IEEE Access, 2019 Since human observers are the ultimate receivers of an image, most of the image quality assessment (IQA) methods are based on analysis of the properties and mechanism of the human visual system.
Yao Ma +3 more
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Image Quality Assessment (IQA) for Parasites.
J. Robotics Netw. Artif. Life, 2023 Muhammad Amirul Aiman Asri +4 more
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