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Smart CMOS Image Sensors and Applications

Smart CMOS Image Sensors and Applications
Author: Jun Ohta
Publisher: CRC Press
Total Pages: 295
Release: 2020-05-12
Genre: Technology & Engineering
ISBN: 1498797342

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Revised and expanded for this new edition, Smart CMOS Image Sensors and Applications, Second Edition is the only book available devoted to smart CMOS image sensors and applications. The book describes the fundamentals of CMOS image sensors and optoelectronic device physics, and introduces typical CMOS image sensor structures, such as the active pixel sensor (APS). Also included are the functions and materials of smart CMOS image sensors and present examples of smart imaging. Various applications of smart CMOS image sensors are also discussed. Several appendices supply a range of information on constants, illuminance, MOSFET characteristics, and optical resolution. Expansion of smart materials, smart imaging and applications, including biotechnology and optical wireless communication, are included. Features • Covers the fundamentals and applications including smart materials, smart imaging, and various applications • Includes comprehensive references • Discusses a wide variety of applications of smart CMOS image sensors including biotechnology and optical wireless communication • Revised and expanded to include the state of the art of smart image sensors


A Biologically Inspired CMOS Image Sensor

A Biologically Inspired CMOS Image Sensor
Author: Mukul Sarkar
Publisher: Springer
Total Pages: 264
Release: 2012-12-14
Genre: Technology & Engineering
ISBN: 3642349013

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Biological systems are a source of inspiration in the development of small autonomous sensor nodes. The two major types of optical vision systems found in nature are the single aperture human eye and the compound eye of insects. The latter are among the most compact and smallest vision sensors. The eye is a compound of individual lenses with their own photoreceptor arrays. The visual system of insects allows them to fly with a limited intelligence and brain processing power. A CMOS image sensor replicating the perception of vision in insects is discussed and designed in this book for industrial (machine vision) and medical applications. The CMOS metal layer is used to create an embedded micro-polarizer able to sense polarization information. This polarization information is shown to be useful in applications like real time material classification and autonomous agent navigation. Further the sensor is equipped with in pixel analog and digital memories which allow variation of the dynamic range and in-pixel binarization in real time. The binary output of the pixel tries to replicate the flickering effect of the insect’s eye to detect smallest possible motion based on the change in state. An inbuilt counter counts the changes in states for each row to estimate the direction of the motion. The chip consists of an array of 128x128 pixels, it occupies an area of 5 x 4 mm2 and it has been designed and fabricated in an 180nm CMOS CIS process from UMC.


Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications

Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications
Author: Josep Maria Margarit
Publisher: Springer
Total Pages: 190
Release: 2016-12-29
Genre: Technology & Engineering
ISBN: 3319499629

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This book describes the development of a new low-cost medium wavelength IR (MWIR) monolithic imager technology for high-speed uncooled industrial applications. It takes the baton on the latest technological advances in the field of vapor phase deposition (VPD) PbSe-based MWIR detection accomplished by the industrial partner NIT S.L., adding fundamental knowledge on the investigation of novel VLSI analog and mixed-signal design techniques at circuit and system levels for the development of the readout integrated device attached to the detector. In order to fulfill the operational requirements of VPD PbSe, this work proposes null inter-pixel crosstalk vision sensor architectures based on a digital-only focal plane array (FPA) of configurable pixel sensors. Each digital pixel sensor (DPS) cell is equipped with fast communication modules, self-biasing, offset cancellation, analog-to-digital converter (ADC) and fixed pattern noise (FPN) correction. In-pixel power consumption is minimized by the use of comprehensive MOSFET subthreshold operation.


Ultra Low Noise CMOS Image Sensors

Ultra Low Noise CMOS Image Sensors
Author: Assim Boukhayma
Publisher: Springer
Total Pages: 187
Release: 2017-11-28
Genre: Technology & Engineering
ISBN: 3319687743

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This thesis provides a thorough noise analysis for conventional CIS readout chains, while also presenting and discussing a variety of noise reduction techniques that allow the read noise in standard processes to be optimized. Two physical implementations featuring sub-0.5-electron RMS are subsequently presented to verify the proposed noise reduction techniques and provide a full characterization of a VGA imager. Based on the verified noise calculation, the impact of the technology downscaling on the input-referred noise is also studied. Further, the thesis covers THz CMOS image sensors and presents an original design that achieves ultra-low-noise performance. Last but not least, it provides a comprehensive review of CMOS image sensors.


High Performance Silicon Imaging

High Performance Silicon Imaging
Author: Daniel Durini
Publisher: Elsevier
Total Pages: 479
Release: 2014-05-14
Genre: Technology & Engineering
ISBN: 0857097520

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High Performance Silicon Imaging covers the fundamentals of silicon image sensors, with a focus on existing performance issues and potential solutions. The book considers several applications for the technology as well. Silicon imaging is a fast growing area of the semiconductor industry. Its use in cell phone cameras is already well established, and emerging applications include web, security, automotive, and digital cinema cameras. Part one begins with a review of the fundamental principles of photosensing and the operational principles of silicon image sensors. It then focuses in on charged coupled device (CCD) image sensors and complementary metal oxide semiconductor (CMOS) image sensors. The performance issues considered include image quality, sensitivity, data transfer rate, system level integration, rate of power consumption, and the potential for 3D imaging. Part two then discusses how CMOS technology can be used in a range of areas, including in mobile devices, image sensors for automotive applications, sensors for several forms of scientific imaging, and sensors for medical applications. High Performance Silicon Imaging is an excellent resource for both academics and engineers working in the optics, photonics, semiconductor, and electronics industries. Covers the fundamentals of silicon-based image sensors and technical advances, focusing on performance issues Looks at image sensors in applications such as mobile phones, scientific imaging, TV broadcasting, automotive, and biomedical applications


Image Sensors and Signal Processing for Digital Still Cameras

Image Sensors and Signal Processing for Digital Still Cameras
Author: Junichi Nakamura
Publisher: CRC Press
Total Pages: 336
Release: 2017-12-19
Genre: Technology & Engineering
ISBN: 1420026852

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Shrinking pixel sizes along with improvements in image sensors, optics, and electronics have elevated DSCs to levels of performance that match, and have the potential to surpass, that of silver-halide film cameras. Image Sensors and Signal Processing for Digital Still Cameras captures the current state of DSC image acquisition and signal processing technology and takes an all-inclusive look at the field, from the history of DSCs to future possibilities. The first chapter outlines the evolution of DSCs, their basic structure, and their major application classes. The next few chapters discuss high-quality optics that meet the requirements of better image sensors, the basic functions and performance parameters of image sensors, and detailed discussions of both CCD and CMOS image sensors. The book then discusses how color theory affects the uses of DSCs, presents basic image processing and camera control algorithms and examples of advanced image processing algorithms, explores the architecture and required performance of signal processing engines, and explains how to evaluate image quality for each component described. The book closes with a look at future technologies and the challenges that must be overcome to realize them. With contributions from many active DSC experts, Image Sensors and Image Processing for Digital Still Cameras offers unparalleled real-world coverage and opens wide the door for future innovation.


Analog Readout Methods for CMOS (complementary Metal-oxide-semiconductor) Image Sensors Utilizing a Global Feedback

Analog Readout Methods for CMOS (complementary Metal-oxide-semiconductor) Image Sensors Utilizing a Global Feedback
Author: Yang Zhang
Publisher:
Total Pages: 278
Release: 2011
Genre:
ISBN:

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"Ever since the invention of Charged Coupled Devices (CCD) and CMOS image sensors, there have been tremendous development efforts towards the creation of digital cameras, which rapidly replaced traditional analog and film cameras. Despite their leading role in the market today, most digital cameras still exhibit worse image quality than film cameras. Many efforts have been made to improve the performance of digital images, such as increased dynamic range and reduced readout noise. As one of the fastest growing industries worldwide, CMOS imaging ranges from high quality digital still cameras to low quality consumer end products. Compared to CCD image sensors, CMOS image sensors allow low power, low cost and on-chip signal processing, which allow them to become more and more prominent. However, the demand for low noise, high readout speed and high dynamic range is still a big concern for CMOS imagers. The goal of this work is to improve the readout time while decreasing the readout noise by employing a modification to the standard Active Pixel Sensor (APS) design to retain high fill factor. The first part of this work focused on a new design named Current Sensing Active Pixel (CSAP) sensor. The design was an analog CMOS image sensor readout architecture implemented in a standard 0.35 [microns] CMOS process, operating from a 3.3 V power supply with faster readout settling times than the standard APS design. The standard APS source follower configuration is used in the pixel part of the CSAP design to obtain a high fill factor. The CSAP design also employed an out-of-pixel readout amplifier in the negative feedback topology with respect to the pixel unit to increase the pixel's current driving capabilities and thereby reduce the settling time at the output. As a result of improved settling time, the 1/f noise contributed by the inpixel source follower transistor may be significantly reduced by the correlated double sampling (CDS) operation commonly used in analog image sensor readout methods. The fabricated CSAP chip prototype was successfully tested and some of the performance improvements were also demonstrated. The other part of this thesis was a new design named Reconfigurable Active Pixel Sensor (RAPS). It was also an analog CMOS image sensor readout architecture implemented in a standard 0.35 [microns] CMOS process operating from a 3.3 V power supply. This design eliminated the need for the external correlated double sampling (CDS) circuit that is used in traditional APS designs. It employed a reconfigurable differential-input readout amplifier that may be used in both the reset and the readout phases of the image sensor operation. As a result, the DC offset was removed, the flicker noise was differentiated, and the reset noise was greatly reduced by employing the amplifier in an active reset configuration. Gain related fixed pattern noise (FPN) was also reduced by the higher open-loop gain of the differential amplifier. This design retained a high fill factor since the pixel unit utilized the same number and size of transistors as the standard APS design"--Leaves iv-v.


Focal-Plane Sensor-Processor Chips

Focal-Plane Sensor-Processor Chips
Author: Ákos Zarándy
Publisher: Springer Science & Business Media
Total Pages: 311
Release: 2011-02-26
Genre: Technology & Engineering
ISBN: 1441964754

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Focal-plane sensor-processor imager devices are sensor arrays and processor arrays embedded in each other on the same silicon chip. This close coupling enables ultra-fast processing even on tiny, low power devices, because the slow and energetically expensive transfer of the large amount of sensory data is eliminated. This technology also makes it possible to produce locally adaptive sensor arrays, which can (similarly to the human retina) adapt to the large dynamics of the illumination in a single scene This book focuses on the implementation and application of state-of-the-art vision chips. It provides an overview of focal plane chip technology, smart imagers and cellular wave computers, along with numerous examples of current vision chips, 3D sensor-processor arrays and their applications. Coverage includes not only the technology behind the devices, but also their near- and mid-term research trends.


High Performance Silicon Imaging

High Performance Silicon Imaging
Author: Daniel Durini
Publisher: Woodhead Publishing
Total Pages: 522
Release: 2019-10-19
Genre: Technology & Engineering
ISBN: 0081024355

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High Performance Silicon Imaging: Fundamentals and Applications of CMOS and CCD Sensors, Second Edition, covers the fundamentals of silicon image sensors, addressing existing performance issues and current and emerging solutions. Silicon imaging is a fast growing area of the semiconductor industry. Its use in cell phone cameras is already well established, with emerging applications including web, security, automotive and digital cinema cameras. The book has been revised to reflect the latest state-of-the art developments in the field, including 3D imaging, advances in achieving lower signal noise, and new applications for consumer markets. The fundamentals section has also been expanded to include a chapter on the characterization and testing of CMOS and CCD sensors that is crucial to the success of new applications. This book is an excellent resource for both academics and engineers working in the optics, photonics, semiconductor and electronics industries. Covers the fundamentals of silicon-based image sensors and technical advances, focusing on performance issues Looks at image sensors in applications, such as mobile phones, scientific imaging, and TV broadcasting, and in automotive, consumer and biomedical applications Addresses the theory behind 3D imaging and 3D sensor development, including challenges and opportunities