Greedy algorithm for image quality optimisation based on turtle-shell steganography

2020 ◽  
Vol 23 (1) ◽  
pp. 50
Author(s):  
Guo Hua Qiu ◽  
Chin Feng Lee ◽  
Chin Chen Chang
Keyword(s):  
Image Quality ◽  
Greedy Algorithm ◽  
Turtle Shell ◽  
Quality Optimisation

Image noise-based dose adaptation in dynamic volume CT of the heart: dose and image quality optimisation in comparison with BMI-based dose adaptation

2013 ◽  
Vol 24 (1) ◽  
pp. 86-94 ◽  
Author(s):  
Devang Odedra ◽  
Joerg Blobel ◽  
Saad AlHumayyd ◽  
Miranda Durand ◽  
Laura Jimenez-Juan ◽  
...  
Keyword(s):  
Image Quality ◽  
Image Noise ◽  
Heart Dose ◽  
Dose Adaptation ◽  
Quality Optimisation ◽  
Volume Ct ◽  
Dynamic Volume Ct

scholarly journals Impact of acquisition parameters on dose and image quality optimisation in paediatric pelvis radiography—A phantom study

2019 ◽  
Vol 118 ◽  
pp. 130-137
Author(s):  
Ali Mohammed Ali ◽  
Peter Hogg ◽  
Mohamed Abuzaid ◽  
Andrew England
Keyword(s):  
Image Quality ◽  
Phantom Study ◽  
Quality Optimisation

Dose–image quality optimisation in digital chest radiography

2005 ◽  
Vol 114 (1-3) ◽  
pp. 269-272 ◽  
Author(s):  
P. Doyle ◽  
C. J. Martin ◽  
D. Gentle
Keyword(s):  
Image Quality ◽  
Chest Radiography ◽  
Digital Chest ◽  
Quality Optimisation

scholarly journals P418Cine short-axis image quality optimisation on 3T cardiac MR

2019 ◽  
Vol 20 (Supplement_2) ◽  
Author(s):  
L Tribuna ◽  
A Clemente ◽  
T Teixeira ◽  
P Sa Couto ◽  
P Oliveira ◽  
...  
Keyword(s):  
Image Quality ◽  
Short Axis ◽  
Short Axis Image ◽  
Cardiac Mr ◽  
Quality Optimisation

Mammography image quality optimisation: a Monte Carlo study

2010 ◽  
Vol 7 (4) ◽  
pp. 276
Author(s):  
German Tirao ◽  
Clara Quintana ◽  
Mauro Valente
Keyword(s):  
Monte Carlo ◽  
Image Quality ◽  
Monte Carlo Study ◽  
Mammography Image ◽  
Quality Optimisation

Progress In The Practical Application Of Automated Image Analysis To Tem Negatives

1977 ◽  
Vol 35 ◽  
pp. 214-217
Author(s):  
F. A. Heckman ◽  
E. Redman ◽  
J.E. Connolly
Keyword(s):  
Image Analysis ◽  
Image Quality ◽  
Exposure Time ◽  
Image Contrast ◽  
Automated Image Analysis ◽  
Practical Application ◽  
Factors Affecting ◽  
High Image Quality ◽  
Qualitative Evidence ◽  
Comprehensive Study

In our initial publication on this subject1) we reported results demonstrating that contrast is the most important factor in producing the high image quality required for reliable image analysis. We also listed the factors which enhance contrast in order of the experimentally determined magnitude of their effect. The two most powerful factors affecting image contrast attainable with sheet film are beam intensity and KV. At that time we had only qualitative evidence for the ranking of enhancing factors. Later we carried out the densitometric measurements which led to the results outlined below.Meaningful evaluations of the cause-effect relationships among the considerable number of variables in preparing EM negatives depend on doing things in a systematic way, varying only one parameter at a time. Unless otherwise noted, we adhered to the following procedure evolved during our comprehensive study:Philips EM-300; 30μ objective aperature; magnification 7000- 12000X, exposure time 1 second, anti-contamination device operating.

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