TY - JOUR
T1 - Laser De-Bayering of Low-Cost Image Sensors
AU - Wright, Les
N1 - Funding Information:
The author would like to thank Dr. Malcolm Clark (University of the Highlands and Islands Moray) and Ian Turnbull (University of the Highlands and Islands Perth) for their support and encouragement during the preparation of this work.
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PY - 2023/1/1
Y1 - 2023/1/1
N2 - Building upon prior work, a novel laser stripping method for removing the Bayer layer from an inexpensive back-illuminated complementary metal-oxide semiconductor image sensor (Raspberry Pi camera) is disclosed. The laser stripping process provides an attractive alternative to chemical stripping, negating the requirement for the processing of such sensors with harmful and environmentally damaging chemicals. Additionally, the method disclosed, though limited in speed, lays the groundwork toward a potentially fast and scalable process. It is demonstrated that such sensors, when stripped of the Bayer layer, exhibit enhanced spectral resolution and range from the ultraviolet to the infrared. Such inexpensive camera sensors, once modified, may be suitable for a variety of scientific applications where a high-resolution, broad spectral response is required, for example, in compact optical spectrometers.
AB - Building upon prior work, a novel laser stripping method for removing the Bayer layer from an inexpensive back-illuminated complementary metal-oxide semiconductor image sensor (Raspberry Pi camera) is disclosed. The laser stripping process provides an attractive alternative to chemical stripping, negating the requirement for the processing of such sensors with harmful and environmentally damaging chemicals. Additionally, the method disclosed, though limited in speed, lays the groundwork toward a potentially fast and scalable process. It is demonstrated that such sensors, when stripped of the Bayer layer, exhibit enhanced spectral resolution and range from the ultraviolet to the infrared. Such inexpensive camera sensors, once modified, may be suitable for a variety of scientific applications where a high-resolution, broad spectral response is required, for example, in compact optical spectrometers.
KW - bayer removal
KW - Electromagnetic wave sensors
KW - laser Bayer stripping
KW - low-cost spectroscopy
KW - Raspberry Pi
KW - ultraviolet (UV) camera
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U2 - 10.1109/LSENS.2022.3231931
DO - 10.1109/LSENS.2022.3231931
M3 - Article
AN - SCOPUS:85146238311
VL - 7
JO - IEEE Sensors Letters
JF - IEEE Sensors Letters
IS - 1
M1 - 3500104
ER -