• Journal of Korea Multimedia Society
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• v.19 no.1
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• pp.10-21
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• 2016

Images taken from outdoor are degraded quality by fog or haze, etc. In this paper, we propose a method that provides the visibility improved images through fog or haze removal. We proposed haze removal method that uses brightness transform based on atmospheric scatter coefficient rate with local histogram equalization. To calculate the transmission rate that indicate fog rate in original image, we use atmospheric scatter coefficient rate based on quadratic equations about haze model. And primary brightness transformed image can be obtained by using the obtained transmission rate. Also we use local histogram equalization with proposed brightness transform for effectively image visibility enhancement. Unlike existing methods, our method can process real-time with stable and effect image visibility enhancement. Proposed method use only the luminance images processed by good performance surveillance systems because it represents the real-time processing is required, black-box, digital camera and multimedia equipment is applicable. Also because it shows good performance only with the luminance images processed, Surveillance systems, black boxes, digital cameras, and multimedia devices etc, that require real-time processing can be applied.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.337-339
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• 2015

As much interest recently location based service, a study to analyze the movement patterns of the users from getting a lot of large amounts of data collected from a GPS installed in the smart device. Also it is recorded in the log file in the form of day-to-day personal computer, the development of a variety of a smart phone, a black box, and navigation. This data is collected by the user have been developed a variety of personalized services. In this paper, using the black box camera, such as the vehicle to form a social network platform that broadcasts real-time traffic utilization real-time video information.

• Journal of Korea Multimedia Society
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• v.20 no.12
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• pp.1901-1912
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• 2017

Traffic lights at night are usually framed in the image as bright regions bigger than the real size due to glow effect. Moreover, the colors of lighting region saturate to white. So it is difficult to distinguish between different traffic lights at night. Many related studies have tried to decrease the glow effect in the process of capturing images. Some studies drastically decreased the shutter time of the camera to reduce the adverse effect by the glow. However, this makes the video too dark. This study proposes a new idea which utilizes the glow effect. It examines the outer radial region of traffic light. It presents an algorithm to discriminate the color of traffic light by the analysis of the outer radial region. The advantage of the proposed method is that it can recognize traffic lights in the image captured by an ordinary black box camera. Experimental results using seven short videos show the performance of traffic light recognition reporting the precision of 96.4% and the recall of 98.2%. These results show that the proposed method is valid and effective.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.438-441
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• 2013

알려진바 한 해 우리나라에서 200여 건 이상의 차량 급발진으로 추청 되는 사고(Sudden Unintended Acceleration, SUA)가 발생하지만 지금까지 명확하게 급발진으로 추정되는 사고의 원인을 밝혀내지 못해 사고를 당한 운전자는 막대한 정신적, 물질적 피해를 보고 있다. 이에 차량의 급발진으로 추정되는 사고 시 차량의 상태 및 원인 파악을 위하여 차량 내 설치되는 OBD-II(On Board Diagnostics-II)와 운전자의 발쪽을 촬영하는 Foot Camera를 이용하여 통합 블랙박스 시스템을 구현하고자 한다. 지금까지의 블랙박스 시스템은 단순히 사고 시 영상을 촬영 저장하여 운전자에게 보여 주는 장치라면 현재 구현하려는 통합시스템은 블랙박스 자체에서 이동 통신을 통한 차량데이터 실시간 서버 전송 및 스마트 폰과 스마트 패드의 앱(App)으로 OBD-II와 메인서버와의 통신을 통해 사용자 차량의 현재 상태, 차량의 이상 유무, 소모품 교환 시기, 차량사고 시 영상 및 급발진 추정 시 차량상태, 위치, 이동거리, 운전자의 발쪽 영상 저장 및 재생 등 사용자가 필요로 하는 다양한 기능과 정보들을 블랙박스 하나로 통합하여 구현 할 것이다. 이 시스템이 개발되면 차량 관리에 서툰 여성 운전자들, 좀 더 체계적이고 손쉽게 내 차 정보를 원하는 운전자들과 전 세계 자동차 소비자들의 관심사인 급발진에 대한 사고 분석이 정확해 질 것으로 여겨진다.

• Journal of the Optical Society of Korea
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• v.19 no.5
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• pp.531-536
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• 2015

This paper presents a new graphical method for selecting a pair of optical glass and housing materials to simultaneously achromatize and athermalize a multilens system composed of many elements. To take into account the lens spacing and housing, we quantify the lens power, chromatic power, and thermal power by weighting the ratio of the paraxial ray height at each lens to them. In addition, we introduce the equivalent single lens and the expanded athermal glass map including a housing material. Even though a lens system is composed of many elements, we can simply identify a pair of glass and housing materials that satisfies the athermal and achromatic conditions. Applying this method to design a black box camera lens equipped with a 1/4-inch image sensor having a pixel width of $2{\mu}m$, the chromatic and thermal defocusings are reduced to less than the depth of focus, over the specified ranges in temperature and frequency.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2015.11a
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• pp.132-133
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• 2015

본 논문에서는 블랙박스 카메라에 적합한 기하왜곡 보정 기법을 제안한다. 제안하는 기법은 정교한 카메라 보정 기법 없이 카메라 중심점을 지나는 직선주행 평균 영상에 나타나는 소실점과 카메라 중심점의 기하학적 관계와 기하왜곡에 의해 왜곡된 소실선을 특징으로 한 향상된 Hough 기법을 이용하여 기하왜곡된 블랙박스 카메라 영상에 대한 단일 기하왜곡 매개변수 모델을 추정한다. 제안하는 기법은 각각의 기하왜곡 매개변수 후보들에 의해 보정된 영상의 소실선들에 대한 에지픽셀들의 향상된 Hough 기법의 투표과정을 통한 최적의 후보선출 과정, 선출된 기하왜곡 매개변수를 초기변수로 최다 투표된 소실선들에 대한 에너지함수 최적화 과정, 최적의 기하왜곡 매개변수를 추정하여 왜곡된 블랙박스 카메라 영상보정 과정으로 이뤄진다.

• Journal of the Semiconductor & Display Technology
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• v.21 no.1
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• pp.22-26
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• 2022

This paper proposes a new method for the recognition of road surface marks and numbers. The proposed method designates a region of interest on the road surface without first detecting a lane. The road surface markings are extracted by location and size using a connection component analysis. Distortion due to the perspective effect is minimized by normalizing the size of the road markings. The road surface marking of the connected component is recognized by matching it with the stored road marking templates. The proposed method is implemented using C language in Raspberry Pi 4 system with a camera module for a real-time image processing. The system was fixedly installed in a moving vehicle, and it recorded a video like a vehicle black box. Each frame of the recorded video was extracted, and then the proposed method was tested. The results show that the proposed method is successful for the recognition of road surface marks and numbers.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.4
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• pp.143-148
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• 2017

Flash Memory which is light and strong external shock as storage of small electronics like smartphone, digital camera, car black box has been widely used. Since the operation speed of the read operation and the write operation are different from each other, and the flash memory has the feature that it is not possible to overwrite, the delete operation is added to solve these problems. Wear-leveling must also be considered, since the number of erase times of the flash memory is limited. Many studies have been conducted on the substitutional algorithms of flash memory based on these characteristics of recent flash memories. So, to solve the problem that has existing buffer replacement algorithm this thesis divide page into 6 groups and when proposed algorithm select victim page, it consider reference page frequency and page recency.

• Journal of the Microelectronics and Packaging Society
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• v.27 no.2
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• pp.1-10
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• 2020

The technology and market size of image sensors continue to develop thanks to the release of image sensors that exceed 100 million pixels in 2019 and expansion of black box camera markets for vehicles in addition to existing mobile applications. We review the technology flow of image sensors that have been constantly evolving for 40 years since Hitachi launched a 200,000-pixel image sensor in 1979. Although CCD has made inroads into image sensor market for a while based on good picture quality, CMOS image sensor (CIS) with active pixels has made inroads into the market as semiconductor technology continues to develop, since the electrons generated by the incident light are converted to the electric signals in the pixel, and the power consumption is low. CIS image sensors with superior characteristics such as high resolution, high sensitivity, low power consumption, low noise and vivid color continue to be released as the new technologies are incorporated. At present, new types of structures such as Backside Illumination and Isolation Cell have been adopted, with better sensitivity and high S/N ratio. In the future, new photoconductive materials are expected to be adopted as a light absorption part in place of the pn junction.

• Journal of the Semiconductor & Display Technology
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• v.17 no.2
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• pp.76-80
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• 2018

In recent years, with the development of automobile technology, smart system technology that assists safe driving has been developed. A camera is installed on the front and rear of the vehicle as well as on the left and right sides to detect and warn of collision risks and hazards. Beyond the technology of simple black-box recording via cameras, we are developing intelligent systems that combine various computer vision technologies. However, most related studies have been developed to optimize performance in laboratory-like environments that do not take environmental factors such as weather into account. In this paper, we propose a method to detect object by restoring visibility in image with degraded image due to weather factors such as fog. First, the image quality degradation such as fog is detected in a single image, and the image quality is improved by restoring using an intermediate value filter. Then, we used an adaptive feature extraction method that removes unnecessary elements such as noise from the improved image and uses it to recognize objects with only the necessary features. In the proposed method, it is shown that more feature points are extracted than the feature points of the region of interest in the improved image.