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IEEE Transactions on Image Processing, ISSN 1057-7149, 07/2016, Volume 25, Issue 7, pp. 3073 - 3086
Journal Article
Medical Physics, ISSN 0094-2405, 07/2012, Volume 39, Issue 7, pp. 4115 - 4122
Purpose: To investigate a measurement method for evaluating the resolution properties of CT imaging systems across reconstruction algorithms, dose, and... 
iterative methods | Medical image noise | Fourier transforms | Noise | Integral transforms | iterative reconstruction | Medical image contrast | phantoms | NPS | Digital computing or data processing equipment or methods, specially adapted for specific applications | Modulation transfer functions | Computed tomography | image quality assessment | Computerised tomographs | image resolution | medical image processing | statistical reconstruction | Reconstruction | Medical imaging | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Electric measurements | Fourier analysis | filters | image reconstruction | image denoising | computerised tomography | detectability index | Image data processing or generation, in general | quality assurance | Medical image reconstruction | NEQ | Medical image spatial resolution | statistical analysis | Spatial resolution | MTF | NOISE | OBSERVER PERFORMANCE | COMPUTED-TOMOGRAPHY | IMAGES | MODULATION TRANSFER-FUNCTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Reproducibility of Results | Algorithms | Radiographic Image Interpretation, Computer-Assisted - methods | Humans | Sensitivity and Specificity | Radiographic Image Enhancement - methods | Tomography, X-Ray Computed - methods | Phantoms, Imaging | Tomography, X-Ray Computed - instrumentation
Journal Article
Medical Physics, ISSN 0094-2405, 01/2015, Volume 42, Issue 1, pp. 314 - 323
Purpose: Different computed tomography (CT) reconstruction techniques offer different image quality attributes of resolution and noise, challenging the ability... 
iterative methods | Medical image noise | Noise | Image quality assessment | iterative reconstruction | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | Modulation transfer functions | optical transfer function | Computed tomography | feature extraction | edge detection | radiation dose | Dosimetry | Image detection systems | Numerical approximation and analysis | Computerised tomographs | image resolution | medical image processing | Reconstruction | Probability theory, stochastic processes, and statistics | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Analysis of texture | image reconstruction | Biological material, e.g. blood, urine; Haemocytometers | image denoising | image texture | image quality | computerised tomography | Image data processing or generation, in general | detectability | Medical image reconstruction | statistical analysis | Spatial resolution | computed tomography | CONE-BEAM CT | IMPROVED IMAGE QUALITY | BREAST TOMOSYNTHESIS | HUMAN OBSERVER PERFORMANCE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | MTF | Tomography, X-Ray Computed - methods | Algorithms | Radiation Dosage | Phantoms, Imaging | Tomography, X-Ray Computed - instrumentation | SPATIAL RESOLUTION | REDUCTION | NOISE | PHANTOMS | RADIATION DOSES | 60 APPLIED LIFE SCIENCES | CAT SCANNING
Journal Article
2014 IEEE Conference on Computer Vision and Pattern Recognition, ISSN 1063-6919, 06/2014, pp. 3003 - 3010
As the image enhancement algorithms developed in recent years, how to compare the performances of different image enhancement algorithms becomes a novel task.... 
Training | enhancement algorithm | Prediction algorithms | Feature extraction | Silicon | Quality assessment | Labeling | Image enhancement | quality assessment | Image quality | Computer vision | Algorithms | Ranking | Subjective assessment | Conferences | Pattern recognition
Conference Proceeding
IEEE Transactions on Image Processing, ISSN 1057-7149, 02/2012, Volume 21, Issue 2, pp. 517 - 526
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2016, Volume 25, Issue 6, pp. 2480 - 2492
Journal Article
Journal of the Science of Food and Agriculture, ISSN 0022-5142, 01/2018, Volume 98, Issue 2, pp. 618 - 627
Journal Article
Multimedia Tools and Applications, ISSN 1380-7501, 1/2011, Volume 51, Issue 2, pp. 675 - 696
Creating algorithms capable of predicting the perceived quality of a visual stimulus defines the field of objective visual quality assessment (QA). The field... 
Data Structures, Cryptology and Information Theory | Special Purpose and Application-Based Systems | Computer Science | Objective quality assessment | Perceived quality | Multimedia Information Systems | Qualit