ITE Technical Report
Online ISSN : 2424-1970
Print ISSN : 1342-6893
ISSN-L : 1342-6893
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32.57
Displaying 1-14 of 14 articles from this issue
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  • [title in Japanese]
    Article type: Cover
    Pages Cover1-
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_Cover1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Index
    Pages Toc1-
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_Toc1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • ROI detection image sensor based on selective visual attention model
    Yosuke MINE, Takayuki HAMAMOTO
    Article type: Article
    Session ID: IST2008-80
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_1
    CONFERENCE PROCEEDINGS FREE ACCESS
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    We have been investigating a method of regions of interest (ROI) detection based on information of edge, motion and flicker. In this paper, we propose the system of detecting ROI, which is constructed from a smart image sensor and processor. By implemented the simplified method on a smart image sensor, it is possible to reduce the amount of data from the sensor.
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  • Sub-retinal implant device with signal processing function
    Keisuke YAGYU, Kiyotaka SASAGAWA, Keiichiro KAGAWA, Takashi TOKUDA, Ju ...
    Article type: Article
    Session ID: IST2008-81
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_5
    CONFERENCE PROCEEDINGS FREE ACCESS
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    We are developing an retinal prosthesis device using electric stimulation on retinal tissue. In this work, we propose a retinal prosthesis device with signal processing. We designed and characterized circuits for retinal prosthesis in 0.35-μm standard CMOS process.
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  • Stacked Organic Image Sensor with Zinc-oxide TFTs as Signal Readout Circuit
    Hokuto SEO, Satoshi AIHARA, Masakazu NANBA, Toshihisa WATABE, Misao KU ...
    Article type: Article
    Session ID: IST2008-82
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_9
    CONFERENCE PROCEEDINGS FREE ACCESS
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    We have studied a single-chip image sensor with stacked structure consisting of transparent readout circuits and organic photoconductive films sensitive only to blue, green or red color each. Stacked three organic photoconductive films sandwiched by transparent electrodes showed excellent color separation and photosensitivity. In addition, image pickup was demonstrated by stacked organic image sensors with zinc oxide TFTs readout circuit.
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  • A Psychologically-Inspired VLSI Brain Model System for Human-Like Visual Perception
    Tadashi SHIBATA
    Article type: Article
    Session ID: IST2008-83
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_13
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The performance of a today's computer is really marvelous. It can carry out a prodigious amount of numerical calculation in an instant and solve complicated mathematical equations almost effortlessly. However, a human is much superior to computers in such tasks, like seeing events happening in front, perceiving and recognizing them by intuition and association, and making a decision to take an immediate action. The purpose of our research is to develop a new-paradigm computing system most suited to such human-like intelligent information processing and, in particular, having a real-time performance. This is going to be done by best utilizing the state-of-the-art silicon technology. Namely, we are developing a series of VLSI processor chips dedicated to such brain-mimicking computation using digital, analog as well as mixed-signal circuit technologies. In some cases, even the physics of devices and materials is directly utilized in computation to achieve a low-power and efficient implementation of a system. Applications of such a system to medical radiograph analysis, face detection and identification as well as to moving object detection, tracking, and gesture perception will be presented as illustrative examples.
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  • A 320×240 Pixel Vision Chip using Dynamic Logic Circuit
    Atsushi IWASHITA, Takashi Komuro, Masatoshi ISHIKAWA
    Article type: Article
    Session ID: IST2008-84
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_21
    CONFERENCE PROCEEDINGS FREE ACCESS
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    A 1000 frame/s image sensor that extracts the sizes, positions, orientations and affine transform invariants of 100 region/frame in an image was implemented. Each pixel was 20μm × 20μm, the number of transistors per pixel was 50, and the fill factor was 10.5%. The chip, 9.22mm × 8.52mm in size, was implemented with a 0.35μm CMOS process.
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  • High speed optical flow detection image sensor by using pixel matching based on edge direction
    Kenichi NAKAYAMA, Yoshihiro KAWASHIMA, Takayuki HAMAMOTO, Kazuya KODAM ...
    Article type: Article
    Session ID: IST2008-85
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_25
    CONFERENCE PROCEEDINGS FREE ACCESS
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    In this paper, we propose a method of optical flow detection at a high frame rate on a smart image sensor, and describe the design of the smart image sensor on which the method is implemented. In the proposed method, optical flow can be detected by single pixel matching with limited search range and controlling the processing interval by using high inter-frame correlation at a high frame rate. Additionally, the detection accuracy is much improved by restricting directions of the search range with the edge directions. And, results of current detection and previous ones are compared to reduce effects of noise.
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  • A Study on Evaluation of Jaggy in Image Using Spatial Spectrum : Effect of Jaggy Elimination by Pseudorandom Pixel Placement
    Yui MAEDA, Yuuki IWABUCHI, Junichi AKITA
    Article type: Article
    Session ID: IST2008-86
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_29
    CONFERENCE PROCEEDINGS FREE ACCESS
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    The pixels in the conventional image systems are located in lattice places, that cause the jaggy in the image, which often cause the severe defect in the image quality. The conventional approaches to overcome this jaggy problem are such as the increased number of pixels and anti-aliasing, however, the number of pixels is limited by the physical pixel size and the quantity of the image information, while the anti-aliasing intrinsically causes the blurred image. The authors have been proposing and evaluating the image systems with pseudorandom pixel placement to decrease the effect of the jaggy. In this report, we propose the jaggy evaluation method using discrete Fourier transform, as well as the evaluation of the jaggy elimination by pseudorandom pixel placement.
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  • Universal Emulator for Column Parallel Vision Chip Using High Speed Camera and FPGA
    Shota NOTE, Keisuke DOUMAE, Junichi AKITA
    Article type: Article
    Session ID: IST2008-87
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_33
    CONFERENCE PROCEEDINGS FREE ACCESS
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    Vision chip is an integration of image sensor and processing circuits into a single chip, which achieves the image capture and the image processing at high frame rate and generates extracted information from an image as output. The authors have reported vision chip for directing line-of-sight including saccade and optical flow estimation based on the column parallel processing architecture. In this paper, we describe a universal emulator for column parallel vision chip using the combination of high speed camera and FPGA for verifying and optimizing image processing algorithms and their parameters.
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  • Column-Parallel Amplifier Noise Reduction Techniques for CMOS Image Sensors
    Takuma SHIREI, Sung-ho Suh, Shinya ITO, Shoji KAWAHITO
    Article type: Article
    Session ID: IST2008-88
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_37
    CONFERENCE PROCEEDINGS FREE ACCESS
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    Random telegraph signal (RTS) and 1/f noises in source followers are becoming a most important issue for low-light level applications of CMOS image sensors. In this paper, we propose a column-parallel signal processing techniques for reducing RTS and 1/f noise of in-pixel source follower using a switched histogram based RTS noise suppression and averaging (HRNSA) and a switched correlated multiple sampling differential averaging (CMSDA) where, the source follower transistor is switched between two levels. Experimental results show that a noise reduction method using switched MOSFET circuit reduces the RTS and 1/f noise of CMOS image sensors.
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  • [title in Japanese]
    Article type: Appendix
    Pages App1-
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_App1
    CONFERENCE PROCEEDINGS FREE ACCESS
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  • [title in Japanese]
    Article type: Appendix
    Pages App2-
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_App2
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (77K)
  • [title in Japanese]
    Article type: Appendix
    Pages App3-
    Published: December 16, 2008
    Released on J-STAGE: September 20, 2017
    DOIhttps://doi.org/10.11485/itetr.32.57.0_App3
    CONFERENCE PROCEEDINGS FREE ACCESS
    Download PDF (77K)
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