9.4L: Late-News Paper: Color Filter on TFT Array Structure Without the Use of Photolithography Process in Upper Substrate & Organic Insulator in TFT Substrate

2005 ◽  
Vol 36 (1) ◽  
pp. 137 ◽  
Author(s):  
J. J. Park ◽  
D. G. Kim ◽  
S. R. Park ◽  
S. J. Kim ◽  
C. R. Seo ◽  
...  
Keyword(s):  
Color Filter ◽  
Array Structure ◽  
Late News ◽  
Photolithography Process

P-180L: Late-News Poster: Tunable Liquid Crystal Color Filter for Image Analysis

2005 ◽  
Vol 36 (1) ◽  
pp. 694 ◽  
Author(s):  
Yuya Sato ◽  
Takahiro Ishinabe ◽  
Tatsuo Uchida ◽  
Hidehiro Seki
Keyword(s):  
Image Analysis ◽  
Liquid Crystal ◽  
Color Filter ◽  
Late News

50.5L: Late-News Paper: Column-Spacers on a High Resolution Flexible Color Filter for LCD by a Roll-to-Roll Process

2005 ◽  
Vol 36 (1) ◽  
pp. 1573 ◽  
Author(s):  
Akio Sonehara ◽  
Toshimasa Eguchi ◽  
Atsushi Sugizaki ◽  
Tatsumi Takahashi ◽  
Takeshi Ito ◽  
...  
Keyword(s):  
High Resolution ◽  
Color Filter ◽  
Roll To Roll ◽  
Late News

P‐233: Late‐News‐Poster: Color Shift Improvement of AMOLED Device with Color Filter

2020 ◽  
Vol 51 (1) ◽  
pp. 2111-2112
Author(s):  
Xuan Zhao ◽  
Jinlei Huang ◽  
Zhixiang Wang ◽  
Insun Hwang
Keyword(s):  
Color Filter ◽  
Color Shift ◽  
Late News

51-5: Late-News Paper: Fast Motion Picture Response Color Filter LCOS for Wearable Applications

2018 ◽  
Vol 49 (1) ◽  
pp. 681-683
Author(s):  
Yuet-Wing Li ◽  
Wen-Hsu Chen ◽  
Chi-Wen Lin ◽  
Kuan-Hsu Fan-Chiang ◽  
Hung-Chien Kuo ◽  
...  
Keyword(s):  
Motion Picture ◽  
Color Filter ◽  
Fast Motion ◽  
Late News

Random Color Filter Arrays are Better than Regular Ones

2016 ◽  
Vol 2016 (1) ◽  
pp. 294-299 ◽  
Author(s):  
Prakhar Amba ◽  
Jérôme Dias ◽  
David Alleysson
Keyword(s):  
Color Filter ◽  
Better Than

A practical approach on non-regular sampling and universal demosaicing of raw image sensor data

2020 ◽  
Vol 2020 (1) ◽  
pp. 91-95
Author(s):  
Philipp Backes ◽  
Jan Fröhlich
Keyword(s):  
Image Quality ◽  
Source Code ◽  
Image Sensor ◽  
Sensor Data ◽  
Color Filter ◽  
Lowpass Filter ◽  
Sampling Errors ◽  
Regular Sampling ◽  
Single Sensor ◽  
Similar Image Quality

Non-regular sampling is a well-known method to avoid aliasing in digital images. However, the vast majority of single sensor cameras use regular organized color filter arrays (CFAs), that require an optical-lowpass filter (OLPF) and sophisticated demosaicing algorithms to suppress sampling errors. In this paper a variety of non-regular sampling patterns are evaluated, and a new universal demosaicing algorithm based on the frequency selective reconstruction is presented. By simulating such sensors it is shown that images acquired with non-regular CFAs and no OLPF can lead to a similar image quality compared to their filtered and regular sampled counterparts. The MATLAB source code and results are available at: http://github. com/PhilippBackes/dFSR

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