OPTICAL MATERIALS | Color Filter and Absorption Glasses

2005 ◽  
pp. 440-446
Author(s):  
J.E. Shelby
Keyword(s):  
Optical Materials ◽  
Color Filter

scholarly journals Color Filters: Plasmonic Color Filter and its Fabrication for Large-Area Applications (Advanced Optical Materials 2/2013)

2013 ◽  
Vol 1 (2) ◽  
pp. 109-109 ◽  
Author(s):  
Yun Seon Do ◽  
Jung Ho Park ◽  
Bo Yeon Hwang ◽  
Sung-Min Lee ◽  
Byeong-Kwon Ju ◽  
...  
Keyword(s):  
Optical Materials ◽  
Color Filter ◽  
Large Area ◽  
Color Filters

Structural/Property Relationships for Optical Materials

1993 ◽  
Vol 329 ◽  
Author(s):  
Vivien D.
Keyword(s):  
Crystal Structure ◽  
Optical Properties ◽  
Electronic Structure ◽  
Chemical Composition ◽  
Field Strength ◽  
Optical Materials ◽  
Site Occupancy ◽  
Laser Materials ◽  
Crystal Field Strength ◽  
The Matrix

AbstractIn this paper the relationships between the crystal structure, chemical composition and electronic structure of laser materials, and their optical properties are discussed. A brief description is given of the different laser activators and of the influence of the matrix on laser characteristics in terms of crystal field strength, symmetry, covalency and phonon frequencies. The last part of the paper lays emphasis on the means to optimize the matrix-activator properties such as control of the oxidation state and site occupancy of the activator and influence of its concentration.

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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