P-133: Color Separation Element with Concentric Symmetry for Display Application

2006 ◽  
Vol 37 (1) ◽  
pp. 697
Author(s):  
Suraj P. Gorkhali ◽  
Jun Qi ◽  
Gregory P. Crawford
2014 ◽  
Vol 15 (2) ◽  
pp. 81-89
Author(s):  
Changwon Jang ◽  
Jonghyun Kim ◽  
Jiwoon Yeom ◽  
Byoungho Lee

2014 ◽  
Vol 53 (29) ◽  
pp. 6920
Author(s):  
Qiaofeng Tan ◽  
Qixia Wang ◽  
Yue Fang ◽  
Huarong Gu ◽  
Guofan Jin

2005 ◽  
Vol 872 ◽  
Author(s):  
M. Fernandes ◽  
A. Fantoni ◽  
M. Niehus ◽  
P. Louro ◽  
G. Lavareda ◽  
...  

AbstractWe report in this paper the recent advances we obtained in optimizing a color image sensor based on the LSP technique. A device structure based on a a-SiC:H/ a-Si:H pin/pin tandem structure has been tested for a proper color separation process that takes advantage on the different filtering properties due to the different light penetration depth at different wavelengths inside the a-Si:H and a-SiC:H absorbers. Under reverse bias the green and the red images give, in comparison with previous tested structures, a weak response, while this structure shows a very good recognition of blue color, leaving a good margin for future device optimization in order to achieve a complete and satisfactory RGB image mapping. The physics behind the device functioning is explained by recurring to a numerical simulation of the internal electrical configuration of the device in dark and under different wavelength irradiations. Considerations about conduction band offsets, electrical field profiles and inversion layers will be taken into account to explain the optical and voltage bias dependence of collected photocurrent.


Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2250 ◽  
Author(s):  
Huei-Yung Lin ◽  
Li-Qi Chen ◽  
Min-Liang Wang

People with color vision deficiency (CVD) cannot observe the colorful world due to the damage of color reception nerves. In this work, we present an image enhancement approach to assist colorblind people to identify the colors they are not able to distinguish naturally. An image re-coloring algorithm based on eigenvector processing is proposed for robust color separation under color deficiency transformation. It is shown that the eigenvector of color vision deficiency is distorted by an angle in the λ , Y-B, R-G color space. The experimental results show that our approach is useful for the recognition and separation of the CVD confusing colors in natural scene images. Compared to the existing techniques, our results of natural images with CVD simulation work very well in terms of RMS, HDR-VDP-2 and an IRB-approved human test. Both the objective comparison with previous works and the subjective evaluation on human tests validate the effectiveness of the proposed method.


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