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Image Quality Assessment Tool for Conventional and Dynamic Magnetic Resonance Imaging Acquisitions. [PDF]
J ImagingNikiforaki K +9 more
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Image Quality Assessment Using Convolutional Neural Network in Clinical Skin Images. [PDF]
JID InnovJeong HK +6 more
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An image quality assessment index based on image features and keypoints for X-ray CT images. [PDF]
PLoS OneMaruyama S, Watanabe H, Shimosegawa M.
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Underwater image quality assessment
Journal of the Optical Society of America A, 2023To obtain high-visual-quality underwater images by image post-processing, many underwater image restoration and enhancement methods have been proposed. Underwater image quality assessment (UIQA) methods have been developed to compare these restoration and enhancement methods.
Xieliu Yang +5 more
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Quality assessment of interpolated images
2007 19th International Conference on Applied Electromagnetics and Communications, 2007Image quality measures should show how some new interpolation method performs in comparison with other interpolation methods. For the case of magnified image achieved by interpolation, original image is unknown and there is no perfect way to judge the magnification quality. Common approach is to start with an original image, generate a lower resolution
Grgić, Mislav +2 more
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Continuous Assessment of Image Quality
SMPTE Journal, 1997This paper addresses the question of whether subjects are able to assess the perceived time-varying quality of video sequences continuously. To this end, a method is used in which subjects continuously indicate the perceived image quality by moving a slider along a graphical scale.
Hamberg, R., Ridder, de, H.
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Quality Assessment of Deblocked Images
IEEE Transactions on Image Processing, 2011We study the efficiency of deblocking algorithms for improving visual signals degraded by blocking artifacts from compression. Rather than using only the perceptually questionable PSNR, we instead propose a block-sensitive index, named PSNR-B, that produces objective judgments that accord with observations.
Changhoon, Yim, Alan Conrad, Bovik
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2019
Deep learning with Convolutional Neural Networks (CNN) requires large number of training and test data sets which involves usually time-consuming visual inspection of medical image data. Recently, crowdsourcing methods have been proposed to gain such large training sets from untrained observers.
Medha Juneja +8 more
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Deep learning with Convolutional Neural Networks (CNN) requires large number of training and test data sets which involves usually time-consuming visual inspection of medical image data. Recently, crowdsourcing methods have been proposed to gain such large training sets from untrained observers.
Medha Juneja +8 more
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Blind image quality assessment
Proceedings. International Conference on Image Processing, 2003Blind image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. It addresses a fundamental distinction between fidelity and quality, i.e. human vision system usually does not need any reference to determine the subjective quality of a target image.
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Water quality assessment by image processing
2015 38th International Conference on Telecommunications and Signal Processing (TSP), 2015We deal with a water quality assessment using an image processing methods in this article. Our suggested method for measurement of the water quality uses two well-known biological organisms sensitive to water toxicity. Their names are Daphnia magna and Lemna minor and they are frequently used for a water analysis from an ecotoxicology point of view. In
Horak, Karel +2 more
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