• Title/Summary/Keyword: image brightness

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Picture Quality Improvement System to prevent the Saturation and Decoloration using Skin Protection Algorithm(SPA) on CIE 1976 u'v' Chromaticity Coordinates (색상의 포화 및 탈색현상 방지를 위한 CIE 1976 u'v' 색도 좌표에서의 SPA를 이용한 화질개선 시스템)

  • Yang, Jeong-Ju;Yook, Ji-Hong;Choi, Hyun-Chul;Kang, Bong-Soon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.3
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    • pp.589-596
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    • 2011
  • Picture Quality Improvement Systems(PQIS) have been developed for user's needs with the development of display technology. Most PQIS change the all input data, so there were some color distortion. In order to compensate such problems, the PQIS using Skin Protection Algorithm(SPA) have been proposed. But the PQIS using SPA is performed simplex color emphasis, as a result occurred color saturation and decoloration. In this paper, we proposed the modified PQIS using SPA on CIE 1976 u'v' chromaticity coordinate. The modified method operated chromaticity extension and reduction at the same time about brightness value to prevent the saturation and decoloration. We evaluated by comparing the conventional method with the proposed method of RGB Gamut variation rate using 42 test image.

Efficient Traffic Lights Detection and Signal Recognition in Moving Image (동영상에서 교통 신호등 위치 검출 및 신호인식 기법)

  • Oh, Seong;Kim, Jin-soo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.717-719
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    • 2015
  • The research and development of the unmanned vehicle is being carried out actively in domestic and foreign countries. The research is being carried out to provide various services so that the weakness of system such as conventional 2D-based navigation systems can be supplemented and the driving can be safer. This paper suggests the method that enables real-time video processing in more efficient way by realizing the location detection and signal recognition technique of traffic signals in video. In order to overcome the limit of conventional methods that have a difficulty in analyzing the signal as it is sensitive to brightness change, the proposed method realizes the program that grasps the depth data in front of the vehicle using video processing, analyzes the signal by detecting traffic signal and estimates color components of traffic signal in front and the distance between traffic signal and the vehicle.

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Improving Subtitle Design of Mobile Broadcast (휴대방송에서 나타난 방송자막 디자인 개선 방향)

  • Cha, Hyun-Hee;Yoon, Seung-Keum;Lee, Kwang-Jik;Choi, Seong-Jin;Lee, Seon-Hee;Park, Goo-Man
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.8 no.5
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    • pp.128-137
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    • 2009
  • This research aimed at providing the direction for future improvement of broadcast subtitle design by identifying the user perception on broadcast subtitles of Terrestrial DMB. First, we contemplated on the existing research about broadcast subtitles. As a result, we found out that broadcast subtitle plays an essential role when watching a program and that the minimization of letters, clear fonts and color arrangement, rearrangement of components were identified as main factors that increase readability. However, the terrestrial DMB user evaluation on image quality, composition, color and brightness was not that positive. In addition, the evaluation on the readability of broadcast subtitle, information transmission, subtitle composition, letter font, number and size of letter was more negative. Developing a subtitle design which considers user convenience and suits terrestrial DMB screens in aspects of broadcast subtitle form and composition, limit of information, clearness and size of the letter is required.

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A Study on the Discharge Characteristics of High Speed Addressing for the HDTV Class Plasma Display (HDTV급 플라즈마 디스플레이의 고속 어드레스 방전특성에 관한 연구)

  • 염정덕
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.15 no.1
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    • pp.13-21
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    • 2001
  • The discharge characteristics of 3 electrcdes AC surface discharge plasma display were analyzed. For an unstable state of the discharge which appeared at the maximum discharge voltage, it is found that a parbal erase of the wall charge by the second discharge is a cause. Based on the second discharge, new operation margin considering the interrelation between the address discharge and the display discharge was defined and the validity of it was verified by the experiments. It is necessary to decrease the acklress pulse width for high-speed addressing. However, the operation margin of the ackIress pulse decreases as the pulse width of it becomes narrower. If the address pulse width is wider than l[ps], the operation margin of the display discharge is not related to the address pulse width. From the experimental result, image or 8bit 253 gray level was displayed on PDP with the cell structure of the HDTV class by using the high-speed address ADS drive methcd with pulse width of $1[{\mu}s]$ and the brightness of $560[cd/m^2]$ was obtained. ained.

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Poisson Video Composition Using Shape Matching (형태 정합을 이용한 포아송 동영상 합성)

  • Heo, Gyeongyong;Choi, Hun;Kim, Jihong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.4
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    • pp.617-623
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    • 2018
  • In this paper, we propose a novel seamless video composition method based on shape matching and Poisson equation. Video composition method consists of video segmentation process and video blending process. In the video segmentation process, the user first sets a trimap for the first frame, and then performs a grab-cut algorithm. Next, considering that the performance of video segmentation may be reduced if the color, brightness and texture of the object and the background are similar, the object region segmented in the current frame is corrected through shape matching between the objects of the current frame and the previous frame. In the video blending process, the object of source video and the background of target video are blended seamlessly using Poisson equation, and the object is located according to the movement path set by the user. Simulation results show that the proposed method has better performance not only in the naturalness of the composite video but also in computational time.

Realization of a High Precision Inspection System for the SOP Types of ICs (SOP형 IC의 고 정밀 외관검사 시스템 구현)

  • Tae Hyo Kim
    • Journal of the Institute of Convergence Signal Processing
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    • v.5 no.2
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    • pp.165-171
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    • 2004
  • Owing to small sizes and high density to the semiconductor It, it is difficult to discriminate the defects of ICs by human eyes. High precision inspection system with computer vision is essentially established for the manufacturing process due to the variety of defective parts. Especially it is difficult to implement the algorithm for the coplanarity of IC leads. Therefore in this paper, the inspection system which can detect the defects of the SOP types of ICs having 1cm${\times}$0.5cm of the chip size is implemented and evaluated it's performance. In order to optimally detect various items, some principles of geometry are theoretically presented , length measurement, pitch measurement, angle measurement, brightness of image and correcton of position. The interface circuit is designed for implementation of inspection system and connected the HANDLER. In the result, the system could detect two ICs' defects per second and confirmed the resolution of 20$\mu$m per pixel.

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Shadow Classification for Detecting Vehicles in a Single Frame (단일 프레임에서 차량 검출을 위한 그림자 분류 기법)

  • Lee, Dae-Ho;Park, Young-Tae
    • Journal of KIISE:Software and Applications
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    • v.34 no.11
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    • pp.991-1000
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    • 2007
  • A new robust approach to detect vehicles in a single frame of traffic scenes is presented. The method is based on the multi-level shadow classification, which has been shown to have the capability of extracting correct shadow shapes regardless of the operating conditions. The rationale of this classification is supported by the fact that shadow regions underneath vehicles usually exhibit darker gray level regardless of the vehicle brightness and illuminating conditions. Classified shadows provide string clues on the presence of vehicles. Unlike other schemes, neither background nor temporal information is utilized; thereby the performance is robust to the abrupt change of weather and the traffic congestion. By a simple evidential reasoning, the shadow evidences are combined with bright evidences to locate correct position of vehicles. Experimental results show the missing rate ranges form 0.9% to 7.2%, while the false alarm rate is below 4% for six traffic scenes sets under different operating conditions. The processing speed for more than 70 frames per second could be obtained for nominal image size, which makes the real-time implementation of measuring the traffic parameters possible.

Video Stabilization using Phase Correlation and Kalman Filter-Based Motion Prediction (위상상관과 칼만 필터 움직임 예측을 이용한 동영상 안정화)

  • Han, Hag-Yong;Jeong, Hyo-Won;Kang, Bong-Soon;Hur, Kang-In
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.2
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    • pp.106-111
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    • 2009
  • Real-time video stabilization technology is used in correction for the camera vibrations of the hand-held camera by hand or fixed camera by external condition. This paper is about the counterplan to cope with the vibration of the movie generated by the large external cause relatively. we use the movie stabilization parameters with the phase correlation method based the DFT to get the displacements of the current frame to the reference frame. we use the kalman filter for the efficient and stable searching works on the phase correlation map and present the proper conditions for the real-time processing through the experiments. We propose the measure to evaluate the capability of the video stabilizer which is the standard deviation of the brightness of the center block. and compare the capability for the video sequences randomly shifted and the jittered video sequences obtained from camera.

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Stream flow estimation in small to large size streams using Sentinel-1 Synthetic Aperture Radar (SAR) data in Han River Basin, Korea

  • Ahmad, Waqas;Kim, Dongkyun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2019.05a
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    • pp.152-152
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    • 2019
  • This study demonstrates a novel approach of remotely sensed estimates of stream flow at fifteen hydrological station in the Han River Basin, Korea. Multi-temporal data of the European Space Agency's Sentinel-1 SAR satellite from 19 January, 2015 to 25 August, 2018 is used to develop and validate the flow estimation model for each station. The flow estimation model is based on a power law relationship established between the remotely sensed surface area of water at a selected reach of the stream and the observed discharge. The satellite images were pre-processed for thermal noise, radiometric, speckle and terrain correction. The difference in SAR image brightness caused by the differences in SAR satellite look angle and atmospheric condition are corrected using the histogram matching technique. Selective area filtering is applied to identify the extent of the selected stream reach where the change in water surface area is highly sensitive to the change in stream discharge. Following this, an iterative procedure called the Optimum Threshold Classification Algorithm (OTC) is applied to the multi-temporal selective areas to extract a series of water surface areas. It is observed that the extracted water surface area and the stream discharge are related by the power law equation. A strong correlation coefficient ranging from 0.68 to 0.98 (mean=0.89) was observed for thirteen hydrological stations, while at two stations the relationship was highly affected by the hydraulic structures such as dam. It is further identified that the availability of remotely sensed data for a range of discharge conditions and the geometric properties of the selected stream reach such as the stream width and side slope influence the accuracy of the flow estimation model.

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Color Change Information Collection Using Python in The Event of Color Temperature Change (색온도 변화 시 파이썬을 이용한 색상 변화 정보의 수집)

  • Jeon, Byungil;Kim, Semin;Lee, Gyujeong;Lee, Jeongwon;Lee, Choong Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.618-620
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    • 2019
  • Smart Farm, which combines agriculture and ICT convergence technology, is at a lower stage than other industries in Korea, but it is also one of the most active research and development fields. Smart Farm aims to improve the efficiency of each step by collecting, processing and analyzing various information of agriculture sector through convergence between agriculture and ICT technology. In this study, we studied the image processing method that can distinguish strawberry which can be harvested at harvest time by color for smart farm composition of strawberry which is a horticultural crop. Strawberry harvesting requires a lot of labor in the process of growing strawberries. In this study, we aim to collect information necessary for labor saving in strawberry harvester. As a precedent study, we plan to implement a form in which the color temperature changes according to the light direction and brightness value through OpenCV color detection using Python. In the future, it is planned to study strawberry color value suitable for harvest by applying compensation value to color temperature change.

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