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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
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) | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | 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 | Index Medicus
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2. 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
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 | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Usage | Mathematical statistics | Mathematical optimization | Innovations
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3. Full Text CVD2014-A Database for Evaluating No-Reference Video Quality Assessment Algorithms
by Nuutinen, Mikko and Virtanen, Toni and Vaahteranoksa, Mikko and Vuori, Tero and Oittinen, Pirkko and Hakkinen, Jukka
IEEE transactions on image processing, ISSN 1057-7149, 07/2016, Volume 25, Issue 7, pp. 3073 - 3086
video quality algorithm | Video camera | Video sequences | Cameras | Distortion | Spatial databases | Quality assessment | subjective evaluation | Video recording | quality attribute | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Usage | Algorithms | Electric distortion | Video compression | Quality | Data bases | Descriptions | Databases | Image processing | Observers
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4. 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
stereoscopic quality assessment | no-reference QA | 3D image quality | Binocular rivalry | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Three-dimensional display systems | Usage | Quantum computing | Image processing | Innovations
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5. 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
denoising | Visualization | Blind quality assessment | no reference image quality assessment | Nonlinear distortion | Humans | natural scene statistics | Prediction algorithms | Indexes | Distortion measurement | spatial domain | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Real-time control | Usage | Distribution (Probability theory) | Real-time systems | Innovations
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6. Full Text Image quality assessment of 2D versus 3D T2WI and evaluation of ultra-high b-Value (b=2,000 mm/s2) DWI for response assessment in rectal cancer
by Hausmann, Daniel and Liu, Jing and Budjan, Johannes and Reichert, Miriam and Ong, Melissa and Meyer, Mathias and Smakic, Arman and Grimm, Robert and Strecker, Ralph and Schoenberg, Stefan O and Wang, Xiaoying and Attenberger, Ulrike I
Anticancer research, ISSN 0250-7005, 02/2018, Volume 38, Issue 2, pp. 969 - 978
Image quality | B value | Diffusion-weighted imaging (DWI) | 3-dimensional T2-weighted imaging (3D T2WI) | Rectal cancer | 2,000 s/mm2 | Life Sciences & Biomedicine | Oncology | Science & Technology | Adenocarcinoma - pathology | Follow-Up Studies | Humans | Image Interpretation, Computer-Assisted - methods | Middle Aged | Imaging, Three-Dimensional - methods | Male | Treatment Outcome | Chemoradiotherapy, Adjuvant | Rectal Neoplasms - therapy | Quality Assurance, Health Care | Adenocarcinoma - therapy | Aged, 80 and over | Adult | Female | Aged | Rectal Neoplasms - pathology | Retrospective Studies | Diffusion Magnetic Resonance Imaging - methods | Observer Variation | Nuclear magnetic resonance--NMR | Medical imaging | Colorectal cancer | Muscles | Males | Patients | Magnetic resonance imaging | Quality | Quality control | Rectum | Quality assessment | Diffusion coefficient | Females | Tumors | Cancer | Index Medicus
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7. 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
Measurement | Image quality | subjective quality assessment | Visualization | Image coding | Databases | objective quality assessment | Transform coding | Quality assessment | Screen content image | quality assessment | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology
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8. 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
Measurement | Visualization | Gradient | phase congruency (PC) | Image color analysis | Feature extraction | low-level feature | Gabor filters | Indexes | image quality assessment (IQA) | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Signal and communications theory | Image processing | Telecommunications and information theory | Exact sciences and technology | Signal, noise | Signal processing | Applied sciences | Information, signal and communications theory | Detection, estimation, filtering, equalization, prediction | Models, Theoretical | Reproducibility of Results | Algorithms | Humans | Visual Perception | Image Processing, Computer-Assisted - methods | Databases, Factual | Usage | Innovations | Mathematical optimization | Pixels | Simulation methods | Studies | Image quality | Similarity | Polycarbonates | Images | Mathematical models | Assessments | Invariants | Image contrast | Index Medicus
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9. Full Text NIMA: Neural Image Assessment
by Talebi, Hossein and Milanfar, Peyman
IEEE transactions on image processing, ISSN 1057-7149, 08/2018, Volume 27, Issue 8, pp. 3998 - 4011
Image quality | Training | Histograms | deep learning | no-reference quality assessment | Image quality assessment | Distortion | Quality assessment | Task analysis | Standards | Engineering, Electrical & Electronic | Engineering | Computer Science, Artificial Intelligence | Technology | Computer Science | Science & Technology | Computer Science - Computer Vision and Pattern Recognition
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10. 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 | Biologically inspired feature | Percentile pooling | Full-reference | Structural similarity | Engineering, Electrical & Electronic | Engineering | Technology | Science & Technology | Biomimetics | Analysis | Human | Image quality | Similarity | Images | Distortion | Perception | Mathematical models | Assessments
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11. Full Text No-reference image and video quality assessment: a classification and review of recent approaches
by Shahid, Muhammad and Rossholm, Andreas and Lövström, Benny and Zepernick, Hans-Jürgen
EURASIP journal on image and video processing, ISSN 1687-5176, 12/2014, Volume 2014, Issue 1, pp. 1 - 32
Biometrics | Engineering | No-reference | Pattern Recognition | Signal, Image and Speech Processing | Image Processing and Computer Vision | Perceptual quality | Image quality assessment | Video quality assessment | Engineering, Electrical & Electronic | Technology | Imaging Science & Photographic Technology | Science & Technology | Image quality | State of the art | Image processing | Categories | Performance assessment | Video | Classification | Quality assessment | Visual
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