NITS-IQA Database: A New Image Quality Assessment Database [PDF]
Sensors, 2023 This paper describes a newly-created image database termed as the NITS-IQA database for image quality assessment (IQA). In spite of recently developed IQA databases, which contain a collection of a huge number of images and type of distortions, there is ...
Jayesh Ruikar, Saurabh Chaudhury
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OPT-IQA: Automated camera parameters tuning framework with IQA-guided optimization
Intelligent Systems with ApplicationsIn industrial visual inspection, computer vision-based AI systems play a pivotal role, with performances dependent on the quality of the acquired images and changes in environmental conditions.
Jan-Henner Roberg +3 more
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Context modeling for IQA [PDF]
Coling 2008: Proceedings of the workshop on Knowledge and Reasoning for Answering Questions - KRAQ '08, 2008 In a realistic Interactive Question Answering (IQA) setting, users frequently ask follow-up questions. By modeling how the questions' focus evolves in IQA dialogues, we want to describe what makes a particular follow-up question salient. We introduce a new focus model, and describe an implementation of an IQA system that we use for exploring our theory.
Raffaella Bernardi, Manuel Kirschner
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DeepFL-IQA: Weak Supervision for Deep IQA Feature Learning [PDF]
, 2020 dataset url: http://database.mmsp-kn ...
Hanhe Lin, Vlad Hosu, Dietmar Saupe
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, 2021 Image quality assessment(IQA) is of increasing importance for image-based applications. Its purpose is to establish a model that can replace humans for accurately evaluating image quality. According to whether the reference image is complete and available, image quality evaluation can be divided into three categories: full-reference(FR), reduced ...
Lanjiang. Wang
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Deep learning-based automatic image quality assessment in ultra-widefield fundus photographs [PDF]
BMJ OpenObjective With a growing need for ultra-widefield fundus (UWF) fundus photographs in clinics and AI development, image quality assessment (IQA) of UWF fundus photographs is an important preceding step for accurate diagnosis and clinical interpretation ...
Sang Jun Park +4 more
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Influence of phytochemicals on growth performance, gut morphology and ceca microbiome in broilers fed aflatoxin-contaminated diet and raised under high stocking density and heat stress [PDF]
Poultry ScienceThis study evaluated the effects of phytochemicals on growth performance, immune response, gut morphology, and cecal microbiome of broilers fed an aflatoxin-contaminated diet under high stocking density and heat stress.
Kittisak Insawake +7 more
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Deep learning-based no-reference image quality assessment framework for Cryptosporidium spp. and Giardia spp. [PDF]
PLoS ONEImage Quality Assessment (IQA) plays a critical role in image-based decision-making systems, especially in domains requiring high diagnostic precision. Effective feature information is a prerequisite for the high performance of machine learning methods ...
Muhammad Amirul Aiman Asri +8 more
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The nature of halogen bonding: insights from interacting quantum atoms and source function studies [PDF]
IUCrJA detailed study of the X...N (X = I, Br) halogen bonds in complexes formed by an extended set of substituted pyridines with D—X molecules (D = X, CN) is reported here.
Arianna Pisati +3 more
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A quality assessment algorithm for no-reference images based on transfer learning [PDF]
PeerJ Computer ScienceImage quality assessment (IQA) plays a critical role in automatically detecting and correcting defects in images, thereby enhancing the overall performance of image processing and transmission systems.
Yang Yang, Chang Liu, Hui Wu, Dingguo Yu
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