scholarly journals Impact of room lighting and image display device in the radiographic appearances of the endodontic treatments

2018 ◽  
pp. 20170372 ◽  
Author(s):  
Adriana D Cruz ◽  
Maria CN Castro ◽  
Marcelo F Aguiar ◽  
Ludmilla S Guimarães ◽  
Cinthya C Gomes
1977 ◽  
Vol 15 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Shigeru Jyomura ◽  
Iwao Matsuyama ◽  
Akio Kumada

2020 ◽  
Vol 2020 (13) ◽  
pp. 340-1-340-6
Author(s):  
Akane Temochi ◽  
Tomohiro Yendo

There is a demand to display image on a transparent medium. If we can show image superimposed on a window, it can attract interest of people. However, a current achieved transparent displays show images only on the display surface, hence it is difficult to show image superimposed on an object that exists behind the screen. Thus, it doesn't understand intuitively. On the other hand, a display which can be perceived the image behind the screen should be placed inclined. Therefore, it is difficult to apply to advertising and exhibition. The purpose of this study is to generate transparent display to show image superimposed on near an object that exists behind the screen. We propose a display which shows image not on display surface but at a different image of depth. In this system, to show the image at behind the screen, display device is reflected on the transparent screen which incorporates a half mirror array. In this study, we use the mirror array as screen in order to locate the display device at an appropriate place. We optimize the surface of display device and angle of all mirrors so as to minimize the virtual image distortion. To confirm the practicality of the proposed method, we conducted a simulation. From the result, we confirmed the virtual image was able to display designated position.


2008 ◽  
Vol 123 (3) ◽  
pp. 1223
Author(s):  
Ichiro Tamura ◽  
Kohji Ohtsuka
Keyword(s):  

2019 ◽  
Vol 2019 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Jérémie Gerhardt ◽  
Michael E. Miller ◽  
Hyunjin Yoo ◽  
Tara Akhavan

In this paper we discuss a model to estimate the power consumption and lifetime (LT) of an OLED display based on its pixel value and the brightness setting of the screen (scbr). This model is used to illustrate the effect of OLED aging on display color characteristics. Model parameters are based on power consumption measurement of a given display for a number of pixel and scbr combinations. OLED LT is often given for the most stressful display operating situation, i.e. white image at maximum scbr, but having the ability to predict the LT for other configurations can be meaningful to estimate the impact and quality of new image processing algorithms. After explaining our model we present a use case to illustrate how we use it to evaluate the impact of an image processing algorithm for brightness adaptation.


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