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1. Full Text Image Quality Assessment Based on Gradient Similarity
by Anmin Liu and Weisi Lin and Narwaria, M
IEEE Transactions on Image Processing, ISSN 1057-7149, 04/2012, Volume 21, Issue 4, pp. 1500 - 1512
In this paper, we propose a new image quality assessment (IQA) scheme, with emphasis on gradient similarity. Gradients convey important visual information and... 
Image quality | Contrast masking | Visualization | gradient similarity | Image coding | Databases | Image edge detection | Transform coding | structural similarity (SSIM) | White noise | human visual system (HVS) | image quality assessment (IQA) | STRUCTURAL SIMILARITY | INFORMATION | MODEL | INDEX | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Artifacts | Reproducibility of Results | Algorithms | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Signal Processing, Computer-Assisted | Image Enhancement - methods | Subtraction Technique | Pattern Recognition, Automated - methods | Quality Control | Robust statistics | Usage | Distribution (Probability theory) | Mathematical optimization | Analysis
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2. Full Text Blind Image Quality Assessment via Deep Learning
by Weilong Hou and Xinbo Gao and Dacheng Tao and Xuelong Li
IEEE Transactions on Neural Networks and Learning Systems, ISSN 2162-237X, 06/2015, Volume 26, Issue 6, pp. 1275 - 1286
This paper investigates how to blindly evaluate the visual quality of an image by learning rules from linguistic descriptions. Extensive psychological evidence... 
Image quality | Training | Measurement | Deep learning | Visualization | Databases | Image representation | Numerical models | no reference | natural scene statistics (NSS) | image quality assessment (IQA) | Image quality assessment (IQA) | Natural scene statistics (NSS) | No reference | COMPUTER SCIENCE, HARDWARE & ARCHITECTURE | NATURAL SCENE STATISTICS | INFORMATION | FRAMEWORK | NEURAL-NETWORK | COMPUTER SCIENCE, THEORY & METHODS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Learning | Models, Theoretical | Biomimetics - methods | Algorithms | Humans | Image Interpretation, Computer-Assisted - methods | Visual Perception | Image Enhancement - methods | Pattern Recognition, Automated - methods | Databases, Factual
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3. Full Text No-Reference Quality Assessment of Natural Stereopairs
by Ming-Jun Chen and Cormack, L. K and Bovik, A. C
IEEE Transactions on Image Processing, ISSN 1057-7149, 09/2013, Volume 22, Issue 9, pp. 3379 - 3391
We develop a no-reference binocular image quality assessment model that operates on static stereoscopic images. The model deploys 2D and 3D features extracted... 
stereoscopic quality assessment | no-reference QA | 3D image quality | Binocular rivalry | STATISTICS | STEREOSCOPIC VIDEO | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Three-dimensional display systems | Usage | Quantum computing | Image processing | Innovations
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4. Full Text Objective Quality Assessment of Tone-Mapped Images
by Yeganeh, H and Zhou Wang
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2013, Volume 22, Issue 2, pp. 657 - 667
Tone-mapping operators (TMOs) that convert high dynamic range (HDR) to low dynamic range (LDR) images provide practically useful tools for the visualization of... 
Visualization | Correlation | perceptual image processing | Brightness | image fusion | Dynamic range | structural similarity | High dynamic range image | Standards | Sensitivity | naturalness | image quality assessment | Quality assessment | tone mapping operator | sructural similarity | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | MAPPING OPERATORS | VISIBILITY | CONTRAST | REPRODUCTION | Usage | Image processing | Mathematical statistics | Mathematical optimization | Innovations
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5. Full Text Image Retargeting Quality Assessment
by Liu, Yong‐Jin and Luo, Xi and Xuan, Yu‐Ming and Chen, Wen‐Feng and Fu, Xiao‐Lan
Computer Graphics Forum, ISSN 0167-7055, 04/2011, Volume 30, Issue 2, pp. 583 - 592
Content‐aware image retargeting is a technique that can flexibly display images with different aspect ratios and simultaneously preserve salient regions in... 
I.3.0 [Computing Methodologies]: Computer Graphics | Image Representation | General I.4.10 [Computing Methodologies]: Image Processing And Computer Vision | COMPUTER SCIENCE, SOFTWARE ENGINEERING | RECOGNITION | COLOR | Computer science | Graphics software | Equipment and supplies | Image processing | Machine vision | Quality management | Studies | Computer simulation | Eyes & eyesight | Image processing systems | Human | Assembling | Color | Images | Preserves | Quality assessment | Assessments | Pixels
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6. Full Text No-Reference Image Quality Assessment in the Spatial Domain
by Mittal, A and Moorthy, A. K and Bovik, A. C
IEEE Transactions on Image Processing, ISSN 1057-7149, 12/2012, Volume 21, Issue 12, pp. 4695 - 4708
We propose a natural scene statistic-based distortion-generic blind/no-reference (NR) image quality assessment (IQA) model that operates in the spatial domain.... 
denoising | Visualization | Blind quality assessment | no reference image quality assessment | Nonlinear distortion | Humans | natural scene statistics | Prediction algorithms | Indexes | Distortion measurement | spatial domain | INFORMATION | SPARSE | NORMALIZATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PARAMETER | ENGINEERING, ELECTRICAL & ELECTRONIC | Real-time control | Usage | Distribution (Probability theory) | Real-time systems | Image processing | Innovations
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7. Full Text FSIM: A Feature Similarity Index for Image Quality Assessment
by Lin Zhang and Lei Zhang and Xuanqin Mou and Zhang, D
IEEE Transactions on Image Processing, ISSN 1057-7149, 08/2011, Volume 20, Issue 8, pp. 2378 - 2386
Image quality assessment (IQA) aims to use computational models to measure the image quality consistently with subjective evaluations. The well-known... 
Measurement | Visualization | Gradient | phase congruency (PC) | Image color analysis | Feature extraction | low-level feature | Gabor filters | Indexes | image quality assessment (IQA) | INFORMATION | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | Models, Theoretical | Reproducibility of Results | Algorithms | Humans | Visual Perception | Image Processing, Computer-Assisted - methods | Databases, Factual | Usage | Image processing | Innovations | Mathematical optimization | Pixels | Simulation methods | Studies | Image quality | Similarity | Polycarbonates | Images | Mathematical models | Assessments | Invariants | Image contrast
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8. Full Text Perceptual Quality Assessment of Screen Content Images
by Huan Yang and Yuming Fang and Weisi Lin
IEEE Transactions on Image Processing, ISSN 1057-7149, 11/2015, Volume 24, Issue 11, pp. 4408 - 4421
Research on screen content images (SCIs) becomes important as they are increasingly used in multi-device communication applications. In this paper, we present... 
Measurement | Image quality | subjective quality assessment | Visualization | Image coding | Databases | objective quality assessment | Transform coding | Quality assessment | Screen content image | quality assessment | INFORMATION | COMPRESSION | SIMILARITY | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC
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9. Full Text Biologically inspired image quality assessment
by Gao, Fei and Yu, Jun
Signal Processing, ISSN 0165-1684, 07/2016, Volume 124, pp. 210 - 219
Image quality assessment (IQA) aims at developing computational models that can precisely and automatically estimate human perceived image quality. To date,... 
Image quality assessment | Biologically inspired feature | Percentile pooling | Full-reference | Structural similarity | NATURAL SCENE STATISTICS | INFORMATION | PERSON REIDENTIFICATION | CLASSIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | PRESERVATION | VISUAL-ATTENTION | VISIBILITY | COLOR | SIMILARITY | Biomimetics | Analysis | Human | Image quality | Similarity | Images | Distortion | Perception | Mathematical models | Assessments
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10. Full Text Information Content Weighting for Perceptual Image Quality Assessment
by Zhou Wang and Qiang Li
IEEE Transactions on Image Processing, ISSN 1057-7149, 05/2011, Volume 20, Issue 5, pp. 1185 - 1198
Many state-of-the-art perceptual image quality assessment (IQA) algorithms share a common two-stage structure: local quality/distortion measurement followed by... 
Weight measurement | Visualization | Computational modeling | Humans | Transforms | information content measure | Image quality | statistical image modeling | pooling | structural similarity (SSIM) | Distortion measurement | peak signal-to-noise-ratio (PSNR) | Gaussian scale mixture (GSM) | image quality assessment (IQA) | ATTENTION | VISUAL SPEED PERCEPTION | STRUCTURAL SIMILARITY | STATISTICS | SCALE MIXTURES | REPRESENTATION | NATURAL IMAGES | NOISE | MODEL | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | DISTORTION | Reproducibility of Results | Algorithms | Information Storage and Retrieval - methods | Biomimetics | Sensitivity and Specificity | Image Enhancement - methods | Usage | Hypothesis | Ad hoc networks (Computer networks) | Studies | Weighting | Images | Distortion | Mathematical models | Assessments | Signal to noise ratio
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11. Full Text Using Free Energy Principle For Blind Image Quality Assessment
by Ke Gu and Guangtao Zhai and Xiaokang Yang and Wenjun Zhang
IEEE Transactions on Multimedia, ISSN 1520-9210, 01/2015, Volume 17, Issue 1, pp. 50 - 63
In this paper we propose a new no-reference (NR) image quality assessment (IQA) metric using the recently revealed free-energy-based brain theory and classical... 
Measurement | Degradation | Visualization | human visual system | Computational modeling | structural degradation | Predictive models | Brain modeling | Feature extraction | no-reference (NR) | Free energy | image quality assessment (IQA) | COMPUTER SCIENCE, SOFTWARE ENGINEERING | NATURAL SCENE STATISTICS | STRUCTURAL SIMILARITY | COMPUTER SCIENCE, INFORMATION SYSTEMS | TELECOMMUNICATIONS | BRAIN | PREDICTION | Image quality | Fittings | Algorithms | Images | Distortion | Mathematical models | Assessments
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12. Full Text Study of Subjective and Objective Quality Assessment of Video
by Seshadrinathan, Kalpana and Soundararajan, Rajiv and Bovik, Alan Conrad and Cormack, Lawrence K
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2010, Volume 19, Issue 6, pp. 1427 - 1441
We present the results of a recent large-scale subjective study of video quality on a collection of videos distorted by a variety of application-relevant... 
LIVE video quality database | human visual system | Video on demand | visual perception | Laboratories | Humans | Quality of service | Full reference | perceptual quality assessment | video quality | Visual databases | Image databases | Layout | Video compression | Quality assessment | Large-scale systems | Video quality | Perceptual quality assessment | Human visual system | Visual perception | VISUAL SPEED PERCEPTION | INFORMATION | MODEL | H.264/AVC | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | IMAGE | Reproducibility of Results | Algorithms | Visual Perception - physiology | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Video Recording - methods | Observer Variation | Image coding | Usage | Mathematical optimization | Methods | Innovations | Data entry | Studies | Data bases | Human | Databases | Images | Distortion | On-line systems | Visual
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13. Full Text Spatiotemporal Statistics for Video Quality Assessment
by Xuelong Li and Qun Guo and Xiaoqiang Lu
IEEE Transactions on Image Processing, ISSN 1057-7149, 07/2016, Volume 25, Issue 7, pp. 3329 - 3342
It is an important task to design models for universal no-reference video quality assessment (NR-VQA) in multiple video processing and computer vision... 
Measurement | Histograms | natural video | 3D-DCT | Distortion | Feature extraction | video quality assessment | Quality assessment | Spatiotemporal phenomena | no-reference | Video recording | spatiotemporal statistics | NATURAL SCENE STATISTICS | Video quality assessment | MECHANISMS | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | PREDICTION | ENGINEERING, ELECTRICAL & ELECTRONIC | VISIBILITY | SHAPE | DCT DOMAIN | IMAGE | Video recordings | Research | Analysis | Electric distortion | Quality | Databases | Image processing | Mathematical models | Statistics | Three dimensional
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14. Full Text Quality Assessment of Stereoscopic Images
by Benoit, Alexandre and Le Callet, Patrick and Campisi, Patrizio and Cousseau, Romain
EURASIP Journal on Image and Video Processing, ISSN 1687-5176, 12/2009, Volume 2008, Issue 1, pp. 1 - 13
Several metrics have been proposed in literature to assess the perceptual quality of two-dimensional images. However, no similar effort has been devoted to... 
Biometrics | Engineering | Pattern Recognition | Signal, Image and Speech Processing | Image Processing and Computer Vision | PERCEPTION | DISPLAYS | VISUAL FATIGUE | MOTION | TECHNOLOGIES | 3-D SHAPE | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | 3DTV | COMPRESSION | ALGORITHMS | DEPTH | ENGINEERING, ELECTRICAL & ELECTRONIC | Engineering Sciences | Image Processing | Computer Science | Signal and Image processing
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