scholarly journals Future Direction of Image Sensor Technologies and Applications in Japan

2014 ◽  
Vol 68 (1) ◽  
pp. 12-20
Author(s):  
Masatoshi Ishikawa ◽  
Makoto Ikeda ◽  
Hirofumi Sumi ◽  
Jun Ohta ◽  
Kazutami Arimoto ◽  
...  
Keyword(s):  
Image Sensor ◽  
Future Direction ◽  
Applications In Japan

A "Future Direction" for Social Psychology Texts?

1972 ◽  
Vol 17 (6) ◽  
pp. 341-342
Author(s):  
STEPHEN T. MARGULIS
Keyword(s):  
Social Psychology ◽  
Future Direction

Development of Wafer Level Chip Size Packaging Process and its Application to the CMOS Image Sensor Module for Medical Device

2017 ◽  
Vol 137 (2) ◽  
pp. 48-58
Author(s):  
Noriyuki Fujimori ◽  
Takatoshi Igarashi ◽  
Takahiro Shimohata ◽  
Takuro Suyama ◽  
Kazuhiro Yoshida ◽  
...  
Keyword(s):  
Medical Device ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Wafer Level ◽  
Packaging Process ◽  
Sensor Module ◽  
Chip Size

Current and Future 3D-LSI Technology for the Image Sensor Devices

2008 ◽  
Author(s):  
Makoto Motoyoshi ◽  
Hirofumi Nakamura ◽  
Manabu Bonkohara ◽  
Mitsumasa Koyanagi
Keyword(s):  
Image Sensor ◽  
Sensor Devices

An Over 120dB Dynamic Range Linear Response Single Exposure CMOS Image Sensor with Two-stage Lateral Overflow Integration Trench Capacitors

2020 ◽  
Vol 2020 (7) ◽  
pp. 143-1-143-6 ◽  
Author(s):  
Yasuyuki Fujihara ◽  
Maasa Murata ◽  
Shota Nakayama ◽  
Rihito Kuroda ◽  
Shigetoshi Sugawa
Keyword(s):  
Linear Response ◽  
Dynamic Range ◽  
Signal To Noise Ratio ◽  
Cmos Image Sensor ◽  
Image Sensor ◽  
Signal To Noise ◽  
Single Exposure ◽  
Two Stage ◽  
Noise Ratio ◽  
Maximum Signal

This paper presents a prototype linear response single exposure CMOS image sensor with two-stage lateral overflow integration trench capacitors (LOFITreCs) exhibiting over 120dB dynamic range with 11.4Me- full well capacity (FWC) and maximum signal-to-noise ratio (SNR) of 70dB. The measured SNR at all switching points were over 35dB thanks to the proposed two-stage LOFITreCs.

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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