• 제목/요약/키워드: Color sensor

검색결과 516건 처리시간 0.031초

공감각인지 기반 근감각신호에서 색·음으로의 변환 시스템 (The System of Converting Muscular Sense into both Color and Sound based on the Synesthetic Perception)

  • 배명진;김성일
    • 한국지능시스템학회논문지
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    • 제24권5호
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    • pp.462-469
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    • 2014
  • 본 논문은 공감각의 공학적인 응용 및 표현방법에 관한 기초연구로서, 인간이 인지할 수 있는 감각들 중 근감각을 시각 및 청각 요소로 변환하는 기본 시스템의 구축을 목표로 한다. 구축방법으로서, 근감각 신호를 3축 가속도 센서 및 2축 자이로센서로부터 계산된 롤(roll), 피치(pitch) 신호를 통하여 근감각 신호 데이터를 획득하고 그 데이터에서 시각적 컬러 정보와 청각적 정보로 변환하는 방법을 제안한다. 롤 신호는 HSI 컬러 모델의 명도(Intensity)와 청각의 요소인 옥타브(Octave)로 변환하고, 피치 신호는 HSI 컬러 모델의 색상(Hue)과 청각의 음계(Scale)에 대응하여 변환한다. 추출된 HSI 컬러모델의 요소성분들을 기반으로 RGB 컬러모델로 변환한 후 실시간 컬러 출력신호를 얻는다. 또한, 청각의 요소인 옥타브 및 음계 성분을 기반으로 MIDI 신호로 변환, 합성한 후 실시간 사운드 출력신호를 얻는다. 실험에서, 신체의 움직임 즉 근감각을 표현하는 롤과 피치 값에서 색과 음 사이의 유사성에 기초한 변환관계에 따라 정상적인 색과 음이 출력되는 것을 확인하였다.

Supervised-learning-based algorithm for color image compression

  • Liu, Xue-Dong;Wang, Meng-Yue;Sa, Ji-Ming
    • ETRI Journal
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    • 제42권2호
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    • pp.258-271
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    • 2020
  • A correlation exists between luminance samples and chrominance samples of a color image. It is beneficial to exploit such interchannel redundancy for color image compression. We propose an algorithm that predicts chrominance components Cb and Cr from the luminance component Y. The prediction model is trained by supervised learning with Laplacian-regularized least squares to minimize the total prediction error. Kernel principal component analysis mapping, which reduces computational complexity, is implemented on the same point set at both the encoder and decoder to ensure that predictions are identical at both the ends without signaling extra location information. In addition, chrominance subsampling and entropy coding for model parameters are adopted to further reduce the bit rate. Finally, luminance information and model parameters are stored for image reconstruction. Experimental results show the performance superiority of the proposed algorithm over its predecessor and JPEG, and even over JPEG-XR. The compensation version with the chrominance difference of the proposed algorithm performs close to and even better than JPEG2000 in some cases.

컬러 성분 분석을 이용한 대비 개선 방법 (Contrast Enhancement Method using Color Components Analysis)

  • 박상현
    • 한국전자통신학회논문지
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    • 제14권4호
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    • pp.707-714
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    • 2019
  • 최근 센서 네트워크 기술의 발달과 카메라 기술의 발달로 이 두 기술을 접목한 비쥬얼 센서 기술을 이용하여 사람이 접근하기 어려운 지역을 효과적으로 관찰 또는 감시하고자 하는 수요가 증가하고 있다. 비쥬얼 센서를 이용한 응용은 실외 지역을 카메라 센서를 이용하여 촬영하기 때문에 날씨나 시간에 따라 영상의 대비가 좋지 않은 영상이 얻어질 수 있다. 본 논문에서는 동일한 지역을 지속적으로 촬영하는 비쥬얼 센서의 특성을 이용하여 조도 대비 컬러 특성을 모델링하고 이 특성을 이용하여 대비가 개선된 영상을 실시간으로 만들 수 있는 방법을 제시한다. 제시하는 모델은 영상에서 관심영역을 설정하고 관심영역에 대해서 조도 대비 컬러 특성을 측정하여 이를 감마함수 형태로 모델링한다. 실험 결과는 제안하는 방법이 간단하면서도 정확하게 저대비 영상의 컬러 성분들을 보정하여 영상의 대비를 개선하는 것을 보여준다.

Covered Microlens Structure for Quad Color Filter Array of CMOS Image Sensor

  • Jae-Hyeok Hwang;Yunkyung Kim
    • Current Optics and Photonics
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    • 제7권5호
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    • pp.485-495
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    • 2023
  • The pixel size in high-resolution complementary metal-oxide-semiconductor (CMOS) image sensors continues to shrink due to chip size limitations. However, the pixel pitch's miniaturization causes deterioration of optical performance. As one solution, a quad color filter (CF) array with pixel binning has been developed to enhance sensitivity. For high sensitivity, the microlens structure also needs to be optimized as the CF arrays change. In this paper, the covered microlens, which consist of four microlenses covered by one large microlens, are proposed for the quad CF array in the backside illumination pixel structure. To evaluate the optical performance, the suggested microlens structure was simulated from 0.5 ㎛ to 1.0 ㎛ pixels at the center and edge of the sensors. Moreover, all pixel structures were compared with and without in-pixel deep trench isolation (DTI), which works to distribute incident light uniformly into each photodiode. The suggested structure was evaluated with an optical simulation using the finite-difference time-domain method for numerical analysis of the optical characteristics. Compared to the conventional microlens, the suggested microlens show 29.1% and 33.9% maximum enhancement of sensitivity at the center and edge of the sensor, respectively. Therefore, the covered microlens demonstrated the highly sensitive image sensor with a quad CF array.

건축물 균열 모니터링을 위한 역학변색센서 활용 기법에 관한 연구 (A Study on the Application Method of Mechanochromic Sensor for Crack Monitoring in Buildings)

  • 최경철;김홍섭;전준서;이문환;편수정;남정수
    • 한국건축시공학회지
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    • 제23권1호
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    • pp.69-79
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    • 2023
  • 본 연구에서는 역학변색센서를 활용한 건축물의 균열 모니터링 기술 개발에 관한 실험적 연구를 수행하였다. 콘크리트 시험체에 유도된 균열에 역학변색센서를 부착한 후 균열의 진행에 따른 변색 이미지를 촬영하였다. 그리고 센서의 변색 이미지 분석 결과와 균열 폭과의 관계식으로부터 균열 폭 도출 식을 제안하였다. 또한, 제안된 균열 폭 모니터링 기법의 검증을 통하여 건축물 균열 모니터링을 위한 역학변색센서의 활용 가능성을 확인하였다.

황화수소 가스 감지를 위한 고성능 변색성 섬유형 센서의 제작 및 개발 (Fabrication of High-Performance Colorimetric Fiber-Type Sensors for Hydrogen Sulfide Detection)

  • 정동혁;맹보희;이준엽;조성빈;안희경;정대웅
    • 센서학회지
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    • 제31권3호
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    • pp.168-174
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    • 2022
  • Hydrogen sulfide(H2S) gas is a high-risk gas that can cause suffocation or death in severe cases, depending on the concentration of exposure. Various studies to detect this gas are still in progress. In this study, we demonstrate a colorimetric sensor that can detect H2S gas using its direct color change. The proposed nanofiber sensor containing a dye material named Lead(II) acetate, which changes its color according to H2S gas reaction, is fabricated by electrospinning. The performance of this sensor is evaluated by measuring RGB changes, ΔE value, and gas selectivity. It has a ΔE value of 5.75 × 10-3 ΔE/s·ppm, showing improved sensitivity up to 1.4 times that of the existing H2S color change detection sensor, which is a result of the large surface area of the nanofibers. The selectivity for H2S gas is confirmed to be an excellent value of almost 70 %.

Noise PDF Analysis of Nonlinear Image Sensor Model;GOCI Case

  • Myung, Hwan-Chun;Youn, Heong-Sik
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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    • pp.191-194
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    • 2007
  • The paper clarifies all the noise sources of a CMOS image sensor, with which the GOCI (Geostationary Ocean Color Imager) is equipped, and analyzes their contribution to a nonlinear image sensor model. In particular, the noise PDF (Probability Density Function) is derived in terms of sensor-gain coefficients: a linear and a nonlinear gains. As a result, the relation between the noise characteristic and the sensor gains is studied.

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A Survey of Real-time Road Detection Techniques Using Visual Color Sensor

  • Hong, Gwang-Soo;Kim, Byung-Gyu;Dogra, Debi Prosad;Roy, Partha Pratim
    • Journal of Multimedia Information System
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    • 제5권1호
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    • pp.9-14
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    • 2018
  • A road recognition system or Lane departure warning system is an early stage technology that has been commercialized as early as 10 years but can be optional and used as an expensive premium vehicle, with a very small number of users. Since the system installed on a vehicle should not be error prone and operate reliably, the introduction of robust feature extraction and tracking techniques requires the development of algorithms that can provide reliable information. In this paper, we investigate and analyze various real-time road detection algorithms based on color information. Through these analyses, we would like to suggest the algorithms that are actually applicable.

휴대폰의 CFA 패턴특성을 이용한 사진 위변조 탐지 (Automatic Detection of Forgery in Cell phone Images using Analysis of CFA Pattern Characteristics in Imaging Sensor)

  • 심재연;김성환
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2010년도 추계학술발표대회
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    • pp.1118-1121
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    • 2010
  • With the advent of cell phone digital cameras, and sophisticated photo editing software, digital images can be easily manipulated and altered. Although good forgeries may leave no visual clues of having been tampered with, they may, nevertheless, alter the underlying statistics of an image. Most digital camera equipped in cell phones employ a single image sensor in conjunction with a color filter array (CFA), and then interpolates the missing color samples to obtain a three channel color image. This interpolation introduces specific correlations which are likely to be destroyed when tampering with an image. We quantify the specific correlations introduced by CFA interpolation, and describe how these correlations, or lack thereof, can be automatically detected in any portion of an image. We show the efficacy of this approach in revealing traces of digital tampering in lossless and lossy compressed color images interpolated with several different CFA algorithms in test cell phones.

시각적 기능개선을 위한 LED 센서 등기구 설계 (A Design of an LED Sensor Luminaire for Visual Function Improvement)

  • 서정남;유용수;여인선
    • 전기학회논문지
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    • 제59권1호
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    • pp.134-137
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    • 2010
  • An LED sensor luminaire for visual function improvement necessitates the control algorithm for light level adjustment and the appropriate lens design. The control algorithm adapts to surround lighting condition, and thus has the advantages of energy saving and glare reduction. The multi-cell lens design improves color temperature uniformity and spatial light distribution of the luminaire. Experimental and simulated results show that this approach contributes noticeably to energy saving and color temperature uniformity of the LED sensor luminaire.