Conferences related to Infrared image sensors

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2021 IEEE International Conference on Mechatronics (ICM)

CM focuses on recent developments and future prospects related to the synergetic integration of mechanics, electronics, and information processing.


2020 19th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)

The ITherm Conference series is the leading international venue for scientific and engineering exploration of thermal, thermomechanical, and emerging technology issues associated with electronic devices, packages, and systems.


2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


2020 IEEE 29th International Symposium on Industrial Electronics (ISIE)

ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.


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Periodicals related to Infrared image sensors

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


Circuits and Systems II: Express Briefs, IEEE Transactions on

Part I will now contain regular papers focusing on all matters related to fundamental theory, applications, analog and digital signal processing. Part II will report on the latest significant results across all of these topic areas.


Dielectrics and Electrical Insulation, IEEE Transactions on

Electrical insulation common to the design and construction of components and equipment for use in electric and electronic circuits and distribution systems at all frequencies.


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Most published Xplore authors for Infrared image sensors

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Xplore Articles related to Infrared image sensors

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Image Sensors

2007 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 2007

None


A wide dynamic range checkered-color CMOS image sensor with IR-Cut RGB and visible-to-near-IR pixels

SENSORS, 2009 IEEE, 2009

A single-chip wide dynamic range (DR) CMOS image sensor is demonstrated with good color reproducibility imaging for the visible wave band, as well as a high sensitivity for the wide waveband coverage through visible to near infrared (near-IR) wavebands. We succeeded in developing a checkered White-RGB (WRGB) CMOS image sensor based on the lateral overflow integration capacitor (LOFIC) architecture with ...


A 648 X 487 Pixel Schottky-barrier Infrared CCD Image Sensor

1991 IEEE International Solid-State Circuits Conference. Digest of Technical Papers, 1991

None


A multispectral image sensor array

Proceedings of the IEEE, 1971

A silicon monolithic multispectral photosensor device is described. Fabrication techniques and preliminary spectral response data are presented.


Fusion algorithm for images data by using steerable pyramid transform

2005 International Conference on Machine Learning and Cybernetics, 2005

Image fusion refers to the techniques that integrate complementary information from multiple image sensor data such that the new images are more suitable for the purpose of human visual perception and the compute-processing tasks. In this paper, a new image fusion algorithm based on steerable pyramid transform to fuse multisensor image data is presented. It has several advantages in comparison ...


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Educational Resources on Infrared image sensors

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IEEE-USA E-Books

  • Image Sensors

    None

  • A wide dynamic range checkered-color CMOS image sensor with IR-Cut RGB and visible-to-near-IR pixels

    A single-chip wide dynamic range (DR) CMOS image sensor is demonstrated with good color reproducibility imaging for the visible wave band, as well as a high sensitivity for the wide waveband coverage through visible to near infrared (near-IR) wavebands. We succeeded in developing a checkered White-RGB (WRGB) CMOS image sensor based on the lateral overflow integration capacitor (LOFIC) architecture with optimized capacitance value for each color pixel according to its sensitivity. Using the RGB pixels with an infrared cut (IR- Cut) filter, good color reproducibility for visible lights up to a high saturation light intensity, as well as a high sensitivity performance for visible to Near-IR wavebands by using the W pixels without IR-Cut filter are obtained. The image sensor is a 1/3.3-inch optical format, 1280<sup>H</sup> × 480<sup>V</sup> pixels, 4.2-¿m effective pixel pitch with pixels placed along with 45° direction WRGB LOFIC CMOS image sensor. The wide DR property is 102-dB in one exposure.

  • A 648 X 487 Pixel Schottky-barrier Infrared CCD Image Sensor

    None

  • A multispectral image sensor array

    A silicon monolithic multispectral photosensor device is described. Fabrication techniques and preliminary spectral response data are presented.

  • Fusion algorithm for images data by using steerable pyramid transform

    Image fusion refers to the techniques that integrate complementary information from multiple image sensor data such that the new images are more suitable for the purpose of human visual perception and the compute-processing tasks. In this paper, a new image fusion algorithm based on steerable pyramid transform to fuse multisensor image data is presented. It has several advantages in comparison with other pyramid transform in image fusion. In this paper, the image fusion is performed at the pixel level, a feature-based fusion rule is used to combine original sub-images and to form a pyramid for the fused image. When images are merged in sub-space, different frequency ranges are processed differently. It can merge information from original images adequately and improve abilities of information analysis and feature extraction. The experiment results show that this fusion algorithm, based on using steerable pyramid transform, can gain a more satisfactory fusion outcome.

  • Enhanced Military Target Discrimination using Active and Passive Polarimetric Imagery

    Surveillance operations often make use of electro-optic (EO) imaging systems to detect civilian and military targets. To increase the overall target detection performance, such active/passive EO sensors could exploit the polarization of light as additional information to discriminate man made objects against different backgrounds. The target contrast enhancement obtained by analyzing the polarization of the reflected light from either a direct polarized laser source as encountered in active imagers, or from natural ambient illumination, can be used for such target discrimination scheme. This paper reports results from field experiments exploiting polarization-based imaging sensors to enhance the detection of man made objects. Active and passive polarimetric signatures of objects have been acquired at wavelengths in the near and long-wave infrared bands. Results demonstrate to what extent and under which illumination and environmental conditions the exploitation of active/passive polarimetric images is suitable to enable target discrimination.

  • Performance limits in visible and infrared imager sensors

    Emerging CMOS image sensors are fundamentally superior to CCD imagers with respect to read noise and sensitivity at video data rates. We discuss each technology's performance limits, show that CMOS's advantages increase with the number of pixels, report supporting data and conclude that CMOS will likely supplant CCDs for megapixel imagers. CCDs can perform at their theoretical limit with minimum read noise of /spl sim/1 e- at 20 kHz data rate and 10-20 e- at /spl sim/10 MHz. CMOS-based image sensors, on the other hand, can provide higher sensitivity and lower read noise at /spl ges/10 MHz via pixel- based amplification and narrow noise bandwidth.

  • Image fusion of high resolution LWIR and IITV sensors for pilotage

    Infrared, image intensified and low light level CCD sensors have well recognized uses, capabilities and limitations. Several government and industry studies objectively evaluated the relative merits of these sensors as applied to day and night pilotage missions. These studies found that each sensor excelled under different conditions and environments. Most pilots preferred having at least two different types of sensors available, since they sometimes complement each other. The ultimate goal of image fusion is to provide an automated method integrating the various image information from different sensors to yield a high quality real time presentation. Ideally, such a composite should retain the essential information from each sensor while minimizing any artifacts or distortions, so that the end result is a seamless representation of reality. By putting together several technologies, image fusion offers an overall improved single image representation of thermal, visible and color, etc. Raytheon has developed image fusion algorithms for fusing high sensitivity/resolution sensors for both the long-wave infrared (LWIR) and the visible-near infrared (VNIR) spectral regions. The algorithms are implemented in real time processing hardware and have been demonstrated in various aircraft, including helicopters. The imagery from the two respective spectral bands is fused via digital image processing techniques so that the information content is optimized for a variety of daytime and nighttime scenes. Imagery from these demonstrations shows dramatic improvement in situational awareness for pilotage.

  • Multi-sensor super-resolution

    Image sensing is usually done with multiple sensors, like the RGB sensors in color imaging, the IR and EO sensors in surveillance and satellite imaging, etc. The resolution of each sensor can be increased by considering the images of the other sensors, and using the statistical redundancy among the sensors. Particularly, we use the fact that most discontinuities in the image of one sensor correspond to discontinuities in the other sensors. Two applications are presented: Increasing the resolution of a single color image by using the correlation among the three color channels, and enhancing noisy IR images.

  • Infra-red image detection with a Si-CCD image sensor due to the two-photon absorption process

    Infra-red images were captured by a Si-CCD image sensor. The Si-CCD showed quadratic sensitivity characteristics due to the two-photon absorption process for high intensity light with a wavelength of 1550 nm.



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