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eBook
ACM Transactions on Graphics (TOG), ISSN 0730-0301, 08/2012, Volume 31, Issue 4, pp. 1 - 10
Current methods for combining two different images produce visible artifacts when the sources have very different textures and structures. We present a new... 
image completion | image stitching | morphing | texture interpolation | object cloning | patch-based synthesis | Morphing | Patch-based synthesis | Object cloning | Texture interpolation | Image completion | Image stitching | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Color
Journal Article
Experimental Mechanics, ISSN 0014-4851, 12/2006, Volume 46, Issue 6, pp. 789 - 803
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2014, Volume 23, Issue 6, pp. 2625 - 2636
Journal Article
Journal Article
Medical Physics, ISSN 0094-2405, 09/2012, Volume 39, Issue 9, pp. 5520 - 5531
Purpose: This study demonstrates a means of implementing an adaptive statistical iterative reconstruction (ASiR™) technique for dose reduction in computed... 
iterative methods | Medical image noise | Medical image quality | dosimetry | Noise | smoothing methods | iterative reconstruction | MOSFETs | paediatrics | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | Computed tomography | patient dose reduction | Computerised tomographs | image resolution | medical image processing | Reconstruction | Medical imaging | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | ASiR | Analysis of texture | image reconstruction | Contrast | image denoising | image texture | Image sensors | computerised tomography | Lungs | Smoothing | Image data processing or generation, in general | Medical image reconstruction | CT image quality | Dosimetry/exposure assessment | CHEST | RISKS | IMAGE QUALITY | NOISE | MDCT | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | ASiR (TM) | COMPUTED-TOMOGRAPHY | STRATEGIES | Humans | Child, Preschool | Tomography, X-Ray Computed - methods | Infant | Image Processing, Computer-Assisted - methods | Radiation Dosage | Neoplasms - diagnostic imaging | Transistors, Electronic | Algorithms | Image Processing, Computer-Assisted - instrumentation | Phantoms, Imaging | Child | Tomography, X-Ray Computed - instrumentation | PATIENTS | RADIATION PROTECTION AND DOSIMETRY | METRICS | RADIATION DOSES | ALGORITHMS | 60 APPLIED LIFE SCIENCES | CAT SCANNING | IMAGE PROCESSING | IMAGES | PEDIATRICS | PHANTOMS | ITERATIVE METHODS | DOSIMETRY | MODULATION | RADIOLOGY
Journal Article
Journal Article
10/2018, ISBN 9781498796187, 26
For decades, researchers have been developing algorithms to manipulate and analyze images. From this, a common set of image tools now appear in many high-level... 
ElectricalEngineeringnetBASE | Mathematical Physics | STMnetBASE | SCI-TECHnetBASE | MATHnetBASE | neural networks | Digital Signal Processing | image space operators | texture and shape | ENGnetBASE | python and images | Image Processing | digital images | fourier space
eBook
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
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 01/2017, Volume 44, Issue 1, pp. 151 - 165
After seminal papers over the period 2009 - 2011, the use of texture analysis of PET/CT images for quantification of intratumour uptake heterogeneity has... 
Recommendations | Heterogeneity | Image texture | Critical review | PET/CT | Animals | Positron Emission Tomography Computed Tomography - trends | Imaging, Three-Dimensional - trends | Humans | Image Enhancement - methods | Evidence-Based Medicine | Forecasting | Tomography | Medical diagnosis | Cancer | Life Sciences | Bioengineering | Nuclear medicine
Journal Article
Computer Graphics Forum, ISSN 0167-7055, 06/2012, Volume 31, Issue 4, pp. 1415 - 1424
Decomposing an input image into its intrinsic shading and reflectance components is a long‐standing ill‐posed problem. We present a novel algorithm that... 
I.3.3 [Computer Graphics]: Picture/Image Generation | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Studies | Algorithms | Computer graphics | Reflectivity | Luminance | Construction | Surface layer | Images | Texture | Reflectance | Graphics | Computer Science
Journal Article
Medical Physics, ISSN 0094-2405, 12/2013, Volume 40, Issue 12, pp. 121916 - n/a
Journal Article
Medical Physics, ISSN 0094-2405, 01/2012, Volume 39, Issue 1, pp. 66 - 80