Image Sensors and Signal Processing for Digital Still Cameras

Image Sensors and Signal Processing for Digital Still Cameras PDF

Author: Junichi Nakamura

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 336

ISBN-13: 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.

Single-Sensor Imaging

Single-Sensor Imaging PDF

Author: Rastislav Lukac

Publisher: CRC Press

Published: 2018-10-03

Total Pages: 600

ISBN-13: 1420054538

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A Decade of Extraordinary Growth The past decade has brought a surge of growth in the technologies for digital color imaging, multidimensional signal processing, and visual scene analysis. These advances have been crucial to developing new camera-driven applications and commercial products in digital photography. Single-Sensor Imaging: Methods and Applications for Digital Cameras embraces this extraordinary progress, comprehensively covering state-of-the-art systems, processing techniques, and emerging applications. Experts Address Challenges and Trends Single-Sensor Imaging: Methods and Applications for Digital Cameras presents leading experts elucidating their own accomplishments in developing the technologies reshaping this field. The editor invited renowned authorities to address specific research challenges and recent trends in their particular areas of expertise. The book discusses single-sensor digital color imaging fundamentals, including reusable embedded software platform, digital camera image processing chain, optical filter and color filter array designs. It also details the latest techniques and approaches in contemporary and traditional digital camera color image processing and analysis for various sophisticated applications, including: Demosaicking and color restoration White balancing and color transfer Color and exposure correction Image denoising and color enhancement Image compression and storage formats Red-eye detection and removal Image resizing Video-demosaicking and superresolution imaging Image and video stabilization A Solid Foundation of Knowledge to Solve Problems Single-Sensor Imaging: Methods and Applications for Digital Cameras builds a strong fundamental understanding of theory and methods for solving many of today’s most interesting and challenging problems in digital color image and video acquisition, analysis, processing, and storage. A broad survey of the existing solutions and relevant literature makes this book a valuable resource both for researchers and those applying rapidly evolving digital camera technologies.

Single-Sensor Imaging

Single-Sensor Imaging PDF

Author: Rastislav Lukac

Publisher:

Published: 2012

Total Pages: 626

ISBN-13:

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A Decade of Extraordinary GrowthThe past decade has brought a surge of growth in the technologies for digital color imaging, multidimensional signal processing, and visual scene analysis. These advances have been crucial to developing new camera-driven applications and commercial products in digital photography. Single-Sensor Imaging: Methods and Applications for Digital Cameras embraces this extraordinary progress, comprehensively covering state-of-the-art systems, processing techniques, and emerging applications. Experts Address Challenges.

Handbook of Digital Imaging

Handbook of Digital Imaging PDF

Author: Michael Kriss

Publisher: John Wiley & Sons

Published: 2015-02-16

Total Pages: 1936

ISBN-13: 0470510595

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A comprehensive and practical analysis and overview of the imaging chain through acquisition, processing and display The Handbook of Digital Imaging provides a coherent overview of the imaging science amalgam, focusing on the capture, storage and display of images. The volumes are arranged thematically to provide a seamless analysis of the imaging chain from source (image acquisition) to destination (image print/display). The coverage is planned to have a very practical orientation to provide a comprehensive source of information for practicing engineers designing and developing modern digital imaging systems. The content will be drawn from all aspects of digital imaging including optics, sensors, quality, control, colour encoding and decoding, compression, projection and display. Contains approximately 50 highly illustrated articles printed in full colour throughout Over 50 Contributors from Europe, US and Asia from academia and industry The 3 volumes are organized thematically for enhanced usability: Volume 1: Image Capture and Storage; Volume 2: Image Display and Reproduction, Hardcopy Technology, Halftoning and Physical Evaluation, Models for Halftone Reproduction; Volume 3: Imaging System Applications, Media Imaging, Remote Imaging, Medical and Forensic Imaging 3 Volumes www.handbookofdigitalimaging.com

Essential Principles of Image Sensors

Essential Principles of Image Sensors PDF

Author: Takao Kuroda

Publisher: CRC Press

Published: 2017-12-19

Total Pages: 192

ISBN-13: 1482220067

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Providing a succinct introduction to the systemization, noise sources, and signal processes of image sensor technology, Essential Principles of Image Sensors discusses image information and its four factors: space, light intensity, wavelength, and time. Featuring clarifying and insightful illustrations, this must-have text: Explains how image sensors convert optical image information into image signals Treats space, wavelength, and time as digitized built-in coordinate points in image sensors and systems Details the operational principles, pixel technology, and evolution of CCD, MOS, and CMOS sensors with updated technology Describes sampling theory, presenting unique figures demonstrating the importance of phase Explores causes for the decline of image information quality In a straightforward manner suitable for beginners and experts alike, Essential Principles of Image Sensors covers key topics related to digital imaging including semiconductor physics, component elements necessary for image sensors, silicon as a sensitive material, noises in sensors, and more.

Photon-Counting Image Sensors

Photon-Counting Image Sensors PDF

Author: Eric R. Fossum

Publisher: MDPI

Published: 2018-07-06

Total Pages: 379

ISBN-13: 3038423742

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This book is a printed edition of the Special Issue "Photon-Counting Image Sensors" that was published in Sensors

Smart Cameras

Smart Cameras PDF

Author: Ahmed Nabil Belbachir

Publisher: Springer Science & Business Media

Published: 2009-10-20

Total Pages: 402

ISBN-13: 1441909532

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A smart camera is an integrated machine vision system which, in addition to image capture circuitry, includes a processor, which can extract information from images without need for an external processing unit, and interface devices used to make results available to other devices. This book provides content on smart cameras for an interdisciplinary audience of professionals and students in embedded systems, image processing, and camera technology. It serves as a self-contained, single-source reference for material otherwise found only in sources such as conference proceedings, journal articles, or product data sheets. Coverage includes the 50 year chronology of smart cameras, their technical evolution, the state-of-the art, and numerous applications, such as surveillance and monitoring, robotics, and transportation.

Image Processing for Remote Sensing

Image Processing for Remote Sensing PDF

Author: C.H. Chen

Publisher: CRC Press

Published: 2007-10-17

Total Pages: 417

ISBN-13: 142006665X

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Edited by leaders in the field, with contributions by a panel of experts, Image Processing for Remote Sensing explores new and unconventional mathematics methods. The coverage includes the physics and mathematical algorithms of SAR images, a comprehensive treatment of MRF-based remote sensing image classification, statistical approaches for

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 PDF

Author: Yang Zhang

Publisher:

Published: 2011

Total Pages: 278

ISBN-13:

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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.