Results 51 to 60 of about 842,884 (173)
Deep Learning frameworks for Image Quality Assessment [PDF]
, 2018 Technology is advancing by the arrival of deep learning and it finds huge application in image processing also. Deep learning itself sufficient to perform over all the statistical methods.
Channappayya, Sumohana, R, Aparna
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A Detail Based Method for Linear Full Reference Image Quality Prediction
, 2017 In this paper, a novel Full Reference method is proposed for image quality assessment, using the combination of two separate metrics to measure the perceptually distinct impact of detail losses and of spurious details.
Di Claudio, Elio D., Jacovitti, Giovanni
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Full Reference Image Quality Assessment Based on Saliency Map Analysis [PDF]
Journal of Imaging Science and Technology, 2010 Region saliency has not been fully considered in most previous image quality assessment models. In this article, the contribution of any region to the global quality measure of an image is weighted with variable weights computed as a function of its saliency. In salient regions, the differences between distorted and original images are emphasized as if
Tong, Yubing +3 more
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DLNR-SIQA: Deep Learning-Based No-Reference Stitched Image Quality Assessment
Sensors, 2020 Due to recent advancements in virtual reality (VR) and augmented reality (AR), the demand for high quality immersive contents is a primary concern for production companies and consumers. Similarly, the topical record-breaking performance of deep learning
Hayat Ullah +3 more
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IEEE Access, 2022 A hybrid architecture composed of a convolutional neural network (CNN) and a Transformer is the new trend in realizing various vision tasks while pushing the limits of learning representation.
Heeseok Oh +3 more
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Pseudo No Reference image quality metric using perceptual data hiding [PDF]
, 2006 International audienceImage quality assessment have been extensively studied during this past few decades. It is obviously very important to provide a mean to judge an image's quality without having to ask to human observers for a sub jective image ...
Autrusseau, Florent +2 more
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A No-Reference Image Quality Assessment Metric by Multiple Characteristics of Light Field Images
IEEE Access, 2019 Evaluation of light field image (LFI), especially micro-lens camera light field (LF), is a new and challenging work. The development of image quality assessment (IQA) metric of LFIs relies on the subjective quality assessment database.
Liang Shan +5 more
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Applied Sciences, 2022 No-reference image quality assessment is one of the most demanding areas of image analysis for many applications where the results of the analysis should be strongly correlated with the quality of an input image and the corresponding reference image is ...
Andrii Rubel +4 more
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Objective View Synthesis Quality Assessment [PDF]
, 2012 International audienceView synthesis brings geometric distortions which are not handled efficiently by existing image quality assessment metrics. Despite the widespread of 3-D technology and notably 3D television (3DTV) and free-viewpoints television ...
Conze, Pierre-Henri +2 more
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Blind Image Quality Assessment of Natural Scenes Based on Entropy Differences in the DCT Domain
Entropy, 2018 Blind/no-reference image quality assessment is performed to accurately evaluate the perceptual quality of a distorted image without prior information from a reference image.
Xiaohan Yang +3 more
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