Eric Fossum Elected OSA Fellow

The Optical Society of America announces that Eric Fossum has been elected as OSA Fellow, among other 77 OSA members. "Fellows of The Optical Society are elected based on their significant contributions to the advancement of optics and photonics and are selected based on several factors, including specific scientific, engineering, and technological contributions, a record of significant publications or patents related to optics, technical or industry leadership in the field as well as service to OSA and the global optics community."

Rambus David Stork Elected OSA Life Fellow

Rambus Fellow David Stork was recently elected “Life Fellow” by the Optical Society of America (OSA). Stork is a member of Rambus imaging team and has many image sensor related papers and patents.

“I deeply enjoy the task of identifying technical problems or opportunities, solving hard theoretical problems and translating those results into practical devices and real-world services that make a difference in the world,” he told Rambus Press. “Specific examples include pondering interdisciplinary problems and the intersections of apparently disparate disciplines, e.g. optics and computing, hardware and software, computer vision and art, speech recognition and computer vision, etc.”

Qualcomm on Low Light Imaging

Qualcomm promotes its low light image processing in this Youtube video:

0.27e− rms Read Noise Sensor Paper

IEEE Electron Device Letters publishes an open-access paper "A 0.27e− rms Read Noise 220-μV/e− Conversion Gain Reset-Gate-Less CMOS Image Sensor With 0.11-μm CIS Process" by Min-Woong Seo, Shoji Kawahito, Keiichiro Kagawa, and Keita Yasutomi. "To achieve a high pixel conversion gain without fine or special processes, the proposed pixel has two unique structures: 1) coupling capacitance between the transfer gate and floating diffusion (FD) and 2) coupling capacitance between the reset gate and FD, for removing parasitic capacitances around the FD node:"

Proposed HCG pixel. (a) Cross-section of the proposed pixel for
reducing the parasitic capacitance of floating diffusion. (b) Potential
diagram as a function of the voltage level of VRTH.

Photoelectron-counting histrograms with a theoretical Poisson
distribution of the developed CMOS imager (@ 100,000 points,
230 LSB/e− using internal ADC). (a) Signal level λ = 2.05.
(b) Signal level λ = 4.0.

This is close to 0.22e- rms noise reported in an earlier paper.

Thanks to EF for the link!

Image Sensors at ISSCC 2016

ISSCC 2016 Advance program has many innovative image sensor related papers, with Panasonic leading the way with its organic imagers:

6.1 An Over 120dB Simultaneous-Capture Wide-Dynamic-Range 1.6e- Ultra-Low-Reset-Noise Organic-Photoconductive-Film CMOS Image Sensor
K. Nishimura, Y. Sato, J. Hirase, R. Sakaida, M. Yanagida, T. Tamaki, M. Takase, H. Kanehara, M. Murakami, Y. Inoue,
Panasonic, Moriguchi, Japan

6.2 210ke- Saturation Signal 3µm-Pixel Variable-Sensitivity Global-Shutter Organic Photoconductive Image Sensor for Motion Capture
S. Shishido, Y. Miyake, Y. Sato, T. Tamaki, N. Shimasaki, Y. Sato, M. Murakami, Y. Inoue,
Panasonic, Moriguchi, Japan

6.3 105×65mm2 391Mpixel CMOS Image Sensor with >78dB Dynamic Range for Airborne Mapping Applications
J. Bogaerts, R. Lafaille, M. Borremans, J. Guo, B. Ceulemans, G. Meynants, N. Sarhangnejad, G. Arsinte, V. Statescu, S. van der Groen
CMOSIS NV, Antwerp, Belgium

6.4 An APS-H-Size 250Mpixel CMOS Image Sensor Using Column Single-Slope ADCs with Dual-Gain Amplifiers
H. Totsuka, T. Tsuboi, T. Muto, D. Yoshida, Y. Matsuno, M. Ohmura, H. Takahashi, K. Sakurai, T. Ichikawa, H. Yuzurihara, S. Inoue
Canon, Kawasaki, Japan

6.5 A 64×64-Pixel Digital Silicon Photomultiplier Direct ToF Sensor with 100MPhotons/s/pixel Background Rejection and Imaging/Altimeter Mode with 0.14% Precision up to 6km for Spacecraft Navigation and Landing
M. Perenzoni, D. Perenzoni, D. Stoppa
Fondazione Bruno Kessler, Trento, Italy

6.6 A 1280×720 Single-Photon-Detecting Image Sensor with 100dB Dynamic Range Using a Sensitivity-Boosting Technique
M. Mori, Y. Sakata, M. Usuda, S. Yamahira, S. Kasuga, Y. Hirose, Y. Kato, T. Tanaka
Panasonic, Nagaokakyo, Japan

6.7 A 1.2e- Temporal Noise 3D-Stacked CMOS Image Sensor with Comparator-Based Multiple-Sampling PGA
K. Shiraishi, Y. Shinozuka, T. Yamashita, K. Sugiura, N. Watanabe, R. Okamoto, T. Ashitani, M. Furuta, T. Itakura,
Toshiba, Kawasaki, Japan

6.8 A 1.5V 33Mpixel 3D-Stacked CMOS Image Sensor with Negative Substrate Bias
C. C-M. Liu, M. M. Mhala, C-H. Chang, H. Tu, P-S. Chou, C. Chao, F-L. Hsueh
TSMC, Hsinchu, Taiwan

6.9 A 1.1µm 33Mpixel 240fps 3D-Stacked CMOS Image Sensor with 3-Stage Cyclic-Based Analog-to-Digital Converters
T. Arai, T. Yasue, K. Kitamura, H. Shimamoto, T. Kosugi, S. Jun, S. Aoyama, M-C. Hsu, Y. Yamashita, H. Sumi, S. Kawahito
NHK Science & Technology Research Laboratories, Tokyo, Japan
Brookman Technology, Hamamatsu, Japan
TSMC, Hsinchu, Taiwan
Shizuoka University, Hamamatsu, Japan

F5 forum on Advanced IC Design for Ultra-Low-Noise Sensing has a couple of image sensor presentations:

NOISE: You Love It or You Hate It
Albert Theuwissen
Harvest Imaging, Belgium & Delft University of Technology, Delft,The Netherlands

Low-Noise Image Sensors
Shoji Kawahito
Shizuoka University, Hamamatsu, Japan

Noise in Single-Photon-Counting Image Sensors
Neale A.W. Dutton
STMicroelectronics, Edinburgh, United Kingdom

Caeleste Presents UV-B-W Imager

Caeleste publishes its presentation "UV-White-Yellow Bayer-like pattern imager" by P.Gao, B.Dierickx, Q.Yao, J.Zhu, P.Coppejans, R.Zhang, G.Cai, B.Luyssaert, B.Spinnewyn, A.Kalgi, and D.Van Aken at CNES Image sensor workshop held on Nov. 19, 2015, Toulouse, France. The company proposes to implement the color separation with no usual organic filters on top:

Point Grey Compares 5MP Sensors

Point Grey releases the measurements of its 5MP cameras based on CCD and CMOS sensors:

AMS to Acquire CMOSIS for 220M Euros

BusinessWire: ams, an Austrian maker of sensor and analog solutions, is to acquire 100% of the shares in CMOSIS in an all-cash transaction.

Founded in 2007, CMOSIS operates as a fabless image sensor supplier from locations in Belgium, Germany, Portugal, and the U.S. and has more than 110 employees. CMOSIS expects to generate full year 2015 revenues of approx. EUR 60m with strong operating profitability above ams’ current group operating profitability. Based on available information, CMOSIS expects to continue year-on-year revenue growth in 2016.

Under the terms of the agreement, ams will acquire 100% of the shares in CMOSIS from TA Associates, a leading global growth private equity firm, and management shareholders for an equity value of approx. EUR 220m. The transaction is expected to close within the next six weeks subject to regulatory approvals and the occurrence of certain conditions defined in the agreements with the sellers of the CMOSIS shares.

“Acquiring CMOSIS is a highly complementary expansion of our sensor portfolio and another major step in executing our sensor solutions growth strategy. This transaction extends our market leadership in optical sensors and will strengthen our position as the leading pure-play sensor solutions provider for growth markets including Industry 4.0, IoT (Internet of Things) and medical diagnostics. Integrating cameras with advanced optical sensors will drive new sensor solutions across vertical markets and accelerate our growth plans as we combine CMOSIS’ leading edge IP and design capabilities with our manufacturing competence and optical sensor strengths”, emphasizes Kirk Laney, CEO of ams.

“CMOSIS has built a leading position in some of the most challenging imaging applications based on our deep technology expertise in CMOS area and line scan image sensors. Our team is at the forefront of global shutter technology for high-end imaging having up to more than 15 years of experience in this field. We are excited to join ams creating a leader in advanced imaging solutions. We will leverage ams’ technical and operational expertise and profit from the global access to potential new customers to realize our full growth potential”, adds Luc de Mey, CEO of CMOSIS.

Update: Knack.be reports that CMOSIS turnover this year is expected to be about 60m Euros, compared with 54.9m in 2014. The profit after tax in 2014 was 9.5m.

Bloovi.be reports that yesterday, CMOSIS won Deloitte-Belgium 2015 Technology Fast 50 Award for 615% annual turnover growth, possibly based on 2013 and 2014 data.

Kogakuin University Video Super-Resolution Said to Exceed Nyquist Limit

Nikkei: Seiichi Gohshi, professor of the Department of Information Design, the Faculty of Informatics, Kogakuin University, and Fujitsu jointly develop a new technology employed for the "Xevic" image processing engine of Fujitsu's Arrows NX F-02H smartphone, to be released in late November 2015. Unlike commonly-used "reconstructed super resolution" and "learning super resolution," the super-resolution technology being researched by Gohshi uses an original method called "nonlinear signal processing method." A nonlinear function is used to supplement high-frequency components and reproduce high-resolution components that surpass the "Nyquist frequency (half of a sampling frequency)," Gohshi said.

The 2014 University research report gives a list of recent publications by Seiichi Gohshi:

Panasonic Post Focus Leverages High Speed Video Mode

PRNewswire: Panasonic leverages its high speed sensor to introduce a Post Focus feature that captures multiple photos with multiple in focus points through a single release of the shutter. Post Focus uses 49-area DFD (Depth From Defocus) autofocus to capture 4K images at 30 fps. The operation of Post Focus function is quite simple and easy – set the camera to Post Focus mode, and press the shutter button. The camera automatically "racks" the focus while capturing photos with varied in focus points. During the playback, one uses the touch screen to select the in focus area desired, and save as a separate 8MP file: