• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2007년도 Proceedings of ISRS 2007
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• pp.464-467
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• 2007

All image data acquisition systems for example the digital camera and digital camcorder, use the image sensor to convert the image data (light) into electronic data. These image sensors are used in satellite camera for high quality and resolution image data. There are two kinds of image sensors, the one is the CCD (charge coupled device) detector sensor and the other is the CMOS (complementary metal-oxide semiconductor) image sensor. The CCD sensor control system has more complex than the CMOS sensor control system. For the high quality image data on CCD sensor, the precise timing control signal and the several voltage sources are needed in the control system. In this paper, the comparison of the CCD with CMOS sensor, the CCD sensor characteristic, and the control system will be described.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 제39회 하계학술대회
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• pp.1935-1936
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• 2008

본 논문은 High speed image를 획득하기 위하여 CMOS Image Sensor를 사용한 고속카메라 구현에 관한 연구이다. Image Sensor로는 CCD Image Sensor와 CMOS Image Sensor가 있으며 CMOS Image Sensor는 CCD Image Sensor에 비해 전력소모가 적고 주변회로의 내장으로 소형화 할 수 있는 장점이 있다. 고속카메라는 충돌 테스트, 에어벡 제어 등의 자동차 분야와 골프 자세 교정 장치와 같은 스포츠 분야, 탄도 방향 측정 장비 등의 국방 분야 등 여러 분야에 많이 사용되고 있다. 본 논문에서 구현한 고속카메라 시스템은 CMOS Image Sensor를 사용하여 1280 * 1024의 해상도로 초당 약 500 frames의 영상을 획득할 수 있다. 또한 CMOS Image Sensor를 제어하고 획득한 이미지를 저장할 수 있도록 FPGA와 DDR2 메모리를 사용하고 저장된 데이터를 PC로 전송하기 위한 Camera Link 모듈 그리고 PC에서 카메라를 제어할 수 있도록 RS-422 통신기능 등으로 구성되었다.

• 센서학회지
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• 제27권6호
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• pp.362-367
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• 2018

A complementary metal oxide semiconductor (CMOS) binary image sensor is proposed for low-power and low-noise operation. The proposed binary image sensor has the advantages of reduced power consumption and fixed pattern noise (FPN). A gate/body-tied (GBT) p-channel metal-oxide-semiconductor field-effect transistor (PMOSFET)-type photodetector is used as the proposed CMOS binary image sensor. The GBT PMOSFET-type photodetector has a floating gate that amplifies the photocurrent generated by incident light. Therefore, the sensitivity of the GBT PMOSFET-type photodetector is higher than that of other photodetectors. The proposed CMOS binary image sensor consists of a pixel array with $394(H){\times}250(V)$ pixels, scanners, bias circuits, and column parallel readout circuits for binary image processing. The proposed CMOS binary image sensor was analyzed by simulation. Using the dynamic comparator, a power consumption reduction of approximately 99.7% was achieved, and this performance was verified by the simulation by comparing the results with those of a two-stage comparator. Also, it was confirmed using simulation that the FPN of the proposed CMOS binary image sensor was successfully reduced by use of the double sampling process.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1988년도 한국자동제어학술회의논문집(국내학술편); 한국전력공사연수원, 서울; 21-22 Oct. 1988
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• pp.725-728
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• 1988

Image restoration technique using dual sensor is presented in this paper. Digital Radiography image (1024xlO24) is obtained by conventional resolution sensor. We also obtain local DR image data by high resolution sensor. Two dimensional maximum entropy power spectrum estimation (2-D ME PSE) is applied to low resolution image and high resolution image for the purpose of the power spectrum estimation of each image. A class of linear algebraic restoration filter, parametric projection filter (PPF), is derived from the power spectrums of each image. It is shown that the noise energy may be considerably reduced through the PPF.

• 방송과미디어
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• 제5권1호
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• pp.59-71
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• 2000

This paper presents a survey of the CMOs-based image sensor and its applications to various real field digital camera. CMOS image sensor, called active pixel sensor (APS), has many interesting properties such ash I회 sensitivity, high speed readout, random access and lower power consumption when it is compared with CCd. this paper also addresses the state-of-the-art of CMOS image sensor, and gives some examples of its application to digital camera and special-purpose cameras. with the advancement of semiconductor technology, CMOS image sensor is a future technology for imaging system, and will be widely used in the filed of image capturing for consumer electronics and scientific measurements.

• 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.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 Proceedings of ISRS 2006 PORSEC Volume II
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• pp.578-581
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• 2006

Usually to achieve precise geolocation of satellite images, we need to get GCPs (Ground control points) from individual scenes. This requirement greatly increases the cost and processing time for satellite mapping. In this article, we focus on finding appropriate sensor models for entire image strips composing of several adjacent scenes. We tested the feasibility of modelling whole satellite image strips by establishing sensor models of one scene with GCPs and by applying the models to neighboring scenes without GCPs. For this, we developed two types of sensor models: collinearity-based type and orbit-based type and tested them using different sets of unknowns. Results indicated that although the performance of two types was very similar, for modelling individual scenes, it was not for modelling the whole strips. Moreover, the performance of sensor models was remarkably sensitive to different sets of unknowns. It was found that the orbit-based model using attitude biases as unknowns can be used to model SPOT image strips of 420 Km in length.

• 센서학회지
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• 제27권3호
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• pp.160-164
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• 2018

In this paper, a wide dynamic range complementary metal-oxide-semiconductor (CMOS) image sensor with the adjustable sensitivity by using cascode metal-oxide-semiconductor field-effect transistor (MOSFET) and inverter is proposed. The characteristics of the CMOS image sensor were analyzed through experimental results. The proposed active pixel sensor consists of eight transistors operated under various light intensity conditions. The cascode MOSFET is operated as the constant current source. The current generated from the cascode MOSFET varies with the light intensity. The proposed CMOS image sensor has wide dynamic range under the high illumination owing to logarithmic response to the light intensity. In the proposed active pixel sensor, a CMOS inverter is added. The role of the CMOS inverter is to determine either the conventional mode or the wide dynamic range mode. The cascode MOSFET let the current flow the current if the CMOS inverter is turned on. The number of pixels is $140(H){\times}180(V)$ and the CMOS image sensor architecture is composed of a pixel array, multiplexer (MUX), shift registers, and biasing circuits. The sensor was fabricated using $0.35{\mu}m$ 2-poly 4-metal CMOS standard process.

• 전기전자학회논문지
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• 제19권2호
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• pp.193-200
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• 2015

본 논문에서는 CMOS 이미지 센서를 사용한 방사선 측정 알고리즘 및 장치의 구성을 제안한다. CMOS 이미지 센서를 사용한 방사선 측정 알고리즘은 CMOS 이미지 센서에 입사된 방사선 입자 판별 알고리즘과 CMOS 이미지 센서로 매초 수 십장의 이미지에 입사된 방사선 입자에 대한 픽셀 수의 누적 및 평균을 기준으로 하는 방사선 수치 측정 알고리즘을 사용한다. CMOS 이미지 센서에 입사된 방사선 입자 판별 알고리즘은 입사된 방사선 입자의 이미지를 R, G, B로 분할하고 각각의 이미지에 대해 명암 및 백그라운드와 입자를 구별할 수 있는 임계값 설정 조정을 통하여 측정한다. 방사선 수치 측정 알고리즘은 설정된 주기에 따른 CMOS 이미지 센서로 매초 수 십장의 이미지에 입사된 방사선 입자수를 누적 저장, 평균을 통하여 방사선 수치를 측정한다. 제안된 알고리즘의 검증을 위한 하드웨어 장치는 CMOS 이미지 센서 및 이미지 시그널 프로세서부, 제어부, 전원회로부, 디스플레이부 등으로 구성된다. 제안된 CMOS 이미지 센서를 사용한 방사선 측정에 관하여 실험한 결과는 다음과 같다. 첫 번째로 저가의 CMOS 이미지 센서를 사용하여 방사선 입자 판별 측정 실험을 통해 고가의 GM Tube의 측정 구간별 특성과 대체로 유사한 특성을 나타낼 수 있음을 확인할 수 있었다. 두 번째로 저가의 CMOS 이미지 센서로 방사선 수치 측정 실험을 통해 고가의 GM Tube가 나타내는 선형 특성과 대체로 유사한 특성을 나타냄을 확인할 수 있었다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2010년 춘계학술발표회 논문집
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• pp.217-219
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• 2010

Sensor modeling is the basic step to extract and to use the information from satellite images. Sensor modeling requires ground control points. If we use a single image, we have limitations on modeling about images captured from regions that we can not approach or take GCPs. In this research, we use strip images to do sensor modeling by two methods. At first, we apply sensor modeiling to single image and apply the results by extrapolation. Next, we consider strip images to single image. As a result, we find the second method is more accurate about whole image.