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Self-adaptive scale transform for IQA metric
2013 IEEE International Symposium on Circuits and Systems (ISCAS2013), 2013Recently, an increasing number of image quality assessment (IQA) algorithms have been developed based on multi-scale methods, such as MS-SSIM, IFC, VIF and IW-PSNR/SSIM. Inspired by the achievement of multi-scale type of IQA algorithms, this paper proposes a self-adaptive scale transform based IQA approach.
null Ke Gu +3 more
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SIQA Based on 2D IQA Weighting Strategy
2020As image quality assessment (IQA) methods for plant images have been explored thoroughly, some SIQA algorithms apply 2D IQA methods on both stereoscopic views independently and then combine the two scores to obtain an overall quality score by a dedicated strategy. The early algorithms only combine the two scores simply to obtain the final quality score,
Yong Ding, Guangming Sun
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Reduced reference IQA based on structural dissimilarity
2014 International Conference on Signal Processing and Integrated Networks (SPIN), 2014Distortion estimation in objective domain plays an important role during Image Quality Assessment (IQA). Reduced Reference IQA requires only partial information about the reference image which can be transmitted through an ancillary data channel and is useful where complete image cannot be accessed (as reference for IQA).
Vikrant Bhateja +2 more
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iQA: An Intelligent Question Answering System
2005Question answering (QA) is the study on the methodology that returns exact answers to natural language questions. This paper attempts to increase the coverage and accuracy of QA systems by narrowing the semantics gap between questions with terms written in abbreviations and their potential answers. To achieve this objective, the processing includes (1)
Zhiguo Gong, Mei Pou Chan
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An Object IQA Framework Based on Saliency Map Similarity
2020 IEEE 6th International Conference on Computer and Communications (ICCC), 2020Objective image quality assessment (IQA) aims to establish a mathematical model on computer to simulate human perception for image to evaluate the quality of it. This paper analyzes the image characteristics for IQA, from which gradient, spectrum, and color are selected as indexes to establish a novel IQA framework.
Hongbin Wang, Song Xiao
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An Empirical View on IQA Follow-up Questions
Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue, 2007In a realistic Interactive Question Answering (IQA) situation, one third of the users pose follow-up questions, i.e., go beyond a single question per dialogue. We identify two different perspectives according to which these follow-ups can be described: informational transitions and context dependency.
M. Kirschner, Bernardi, Raffaella
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357. iQA: Quality assurance management software in hospital radiology
Physica Medica, 2018Purpose iQA takes its bases on the necessity to share QA (Quality Assurance) radiologic information among different professionals such as physician as responsible of technology, technicians and medical physicists. Our medical physics department is involved in the QA of radiologic equipment on several hospitals in the Ferrara district.
L. Manco +5 more
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KADID-10k: A Large-scale Artificially Distorted IQA Database
2019 Eleventh International Conference on Quality of Multimedia Experience (QoMEX), 2019Current artificially distorted image quality assessment (IQA) databases are small in size and limited in content. Larger IQA databases that are diverse in content could benefit the development of deep learning for IQA. We create two datasets, the Konstanz Artificially Distorted Image quality Database (KADID-10k) and the Konstanz Artificially Distorted ...
Lin, Hanhe, Hosu, Vlad, Saupe, Dietmar
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Short description of the research software : A C++ library to analyze image quality. Detect e.g. if an image is over-/underexposed, blurry or contains little information. iqa is based on OpenVC and can utilize your GPU for a great performance boost. To do so you only need OpenCV built with Cuda support.
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An Integrated Electronic IQA System for HEI
2018Most HEIs have piecemeal partially linked QMS (Quality Management System) or mechanisms to manage the data, statistics and documents heavy quality management of its academic aspirations disjointed from the planning dimension. The integrated eIQA structured in 9 e-modules are aimed at integrating the quality-information-planning trilogy into a paperless
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