• Title/Summary/Keyword: exposure algorithm

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Hardware Architecture of Automatic Exposure Algorithm for CMOS Image Sensor (CMOS Image Sensor용 자동노출 알고리즘의 하드웨어 구조)

  • Mo, Sung-Wook;Park, Hyun-Sang
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.7
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    • pp.1497-1502
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    • 2009
  • AE(Auto exposure) is a function to maintain the exposure value of a captured image constant, and is one of the crucial functionalities of a CIS-based mobile camera. Generally AE is implemented in software, requiring a CPU and a ROM to store the corresponding software. This approach increases the hardware size at the cost of increased flexibility. In this paper, we propose an AE algorithm featuring variable frame-rate and adaptive analog gain control, as well as a FSM-based hardware architecture for a CIS-based mobile camera.

Modified Exposure Fusion with Improved Exposure Adjustment Using Histogram and Gamma Correction (히스토그램과 감마보정 기반의 노출 조정을 이용한 다중 노출 영상 합성 기법)

  • Park, Imjae;Park, Deajun;Jeong, Jechang
    • Journal of Broadcast Engineering
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    • v.22 no.3
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    • pp.327-338
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    • 2017
  • Exposure fusion is a typical image fusion technique to generate a high dynamic range image by combining two or more different exposure images. In this paper, we propose block-based exposure adjustment considering unique characteristics of human visual system and improved saturation measure to get weight map. Proposed exposure adjustment artificially corrects intensity values of each input images considering human visual system, efficiently preserving details in the result image of exposure fusion. The improved saturation measure is used to make a weight map that effectively reflects the saturation region in the input images. We show the superiority of the proposed algorithm through subjective image quality, MEF-SSIM, and execution time comparison with the conventional exposure fusion algorithm.

Single Image Based HDR Algorithm Using Statistical Differencing and Histogram Manipulation (통계적 편차와 히스토그램 변형을 이용한 단일영상기반 고품질 영상 생성기법)

  • Song, Jin-Sun;Han, Kyu-Phil;Park, Yang-Woo
    • Journal of Korea Multimedia Society
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    • v.21 no.7
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    • pp.764-771
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    • 2018
  • In this paper, we propose a high-quality image acquisition algorithm using only a single image, which the high-quality image is normally referred as HDR ones. In order to acquire the HDR image, conventional methods need many images having different exposure values at the same scene and should delicately adjust the color values for a bit-expansion or an exposure fusion. Thus, they require considerable calculations and complex structures. Therefore, the proposed algorithm suggests a completely new approach using one image for the high-quality image acquisition by applying statistical difference and histogram manipulation, or histogram specification, techniques. The techniques could control the pixel's statistical distribution of the input image into the desired one through the local and the global modifications, respectively. As the result, the quality of the proposed algorithm is better than those of conventional methods implemented in commercial image editing softwares.

OPERATIONAL EXPERIENCE OF A TWO-DOSIMETER ALGORITHM FOR BETTER ESTIMATION OF EFFECTIVE DOSE AT KOREAN NUCLEAR POWER PLANTS

  • Kim, Hee-Geun;Kong, Tae-Young
    • Journal of Radiation Protection and Research
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    • v.34 no.4
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    • pp.165-169
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    • 2009
  • Two dosimeters are provided to radiation workers participating in tasks where high radiation exposure is expected during maintenance at nuclear power plants. At Korean nuclear power plants, two dosimeters are currently provided for tasks where exposure rates exceed 1 mSv/hr, the difference of equivalent dose to specific parts of the body is more than 30% and an exposure of more than 2 mSv is expected in a single task. These conditions for the provisioning of two dosimeters are based on previous field test results, and it is recommended that the dosimeters be worn on the chest and back. It was also found that the workers felt it was more convenient when they wore two dosimeters on chest and back rather than on chest and head. After the application of previous field test results to practice, it was found that the calculated effective dose for workers during radiation work was lower than the maximum dose of chest or back dosimeter by approximately 10%-30%. This performance is regarded not only to meet the international guideline but also to provide convenience for workers during radiation work.

A Study on the Control Algorithm for the 300[mm] Wafer Edge Exposure of ArF Type using A Linear CCD Sensor (선형 CCD 센서를 적용한 ArF 파장대 웨이퍼 에지 노광장비의 제어에 관한 연구)

  • Park, Hong-Lae;Lee, Cheol-Gyu
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.6
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    • pp.148-155
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    • 2008
  • This study presents a process control of the wafer edge exposure (WEE) used in 300[mm] wafer environment. WEE, as a key module of the overall track system (coater and developer) for making patterns on wafer, is a system to expose the UV-ray on the wafer to remove a photo resist around edge of the wafer. It can measure, memorize and control the distance and angles from wafer center to edge. Recently in the 300[mm] semiconductor fabrication, the track system strongly requires that WEE station has a controller with high throughput and accuracy to increase process efficiency. We have designed and developed the controller, and present here a WEE control algorithm and experimental results.

Development of MF-Dos using Adaptive PSO Algorithm (적응 PSO 알고리즘을 이용한 개인생활자계노출량 계산식 개발)

  • Hwang, Gi-Hyun;Yang, Kang-Ho;Ju, Mun-No;Lee, Min-Jung
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.5
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    • pp.649-658
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    • 2008
  • In this paper, we proposed an adaptive PSO(APSO) algorithm which changes parameter values with every recursion based on the conventional particle swam optimization(CPSO). In order to solve the optimization problem, the proposed APSO algorithm is applied to some functions, such as the De Jong function, Ackley function, Davis function and Griewank function. The superiority of the proposed APSO algorithm compared with the genetic algorithm(GA) is proved through the numerical experiment. Finally we applied the proposed algorithm to developing a function for personal magnetic field exposure based with real datas which are acquired based on the consumer research and field measuring instrument.

Assessment of Heavy Metal Exposure Levels (Pb, Hg, Cd) among South Koreans and Contribution Rates by Exposure Route - Korean National Environmental Health Survey (KoNEHS) Cycle 4 (2018~2020) - (한국인의 체내 중금속(납, 수은, 카드뮴)의 노출수준 및 노출경로별 기여율 평가 - 제4기 국민환경보건 기초조사(2018~2020) -)

  • Gihong Min;Jihun Shin;Dongjun Kim;Jaemin Woo;Kyeonghwa Sung;Mansu Cho;Wonho Yang
    • Journal of Environmental Health Sciences
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    • v.49 no.5
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    • pp.262-274
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    • 2023
  • Background: Exposure levels for heavy metals such as lead (Pb), mercury (Hg), and cadmium (Cd) have increased due to human activities. They are known to be a public health concern. Objectives: This study aimed to determine the exposure levels to heavy metals in the blood and urine of South Korean adults and to present the contribution rate of exposure pathways using an exposure algorithm for men aged 19~64, women aged 19~64, and all seniors aged 65 or older. Methods: We analyzed data from the Korean National Environmental Health Survey (KoNEHS) Cycle 4 (2018~2020). A total of 2,646 participants aged ≥19 years were included. Multiple regression analysis was performed to determine the factors affecting heavy metal concentrations. The contribution rate was calculated by applying three exposure algorithms for ingestion, inhalation, and dermal exposure. Results: Factors that commonly affect heavy metal concentrations in blood and urine were gender and age. The main influencing factors for Pb and Cd were education level and smoking status, while frequency of fish consumption and of alcohol consumption were indicated to be the main influencing factors for mercury. The contribution rates of lead and cadmium from food ingestion were 78.03~79.62% and 88.39~92.89%, respectively. Additionally, the highest contribution for mercury was accounted for by food at 81.69~85.77%. As a result of the risk assessment, cadmium was found to pose a potential health risk a with total cancer risk (TCR) of more than 1×10-6. Conclusions: The KoNEHS could be an important study for determining the level of exposure to heavy metals and their influencing factors. Integrated exposure to heavy metals could assess the main exposure pathways, and this methodology could be applied to exposure management of heavy metals.

Design and Implementation of Multi Exposure Smart Vehicular Camera Applying Auto Exposure Control Algorithm Based on Region of Interest (관심 영역 기반의 자동 노출 조절 알고리즘을 적용한 다중 노출 차량용 스마트 카메라의 설계 및 구현)

  • Jeon, Yongsu;Park, Heejin;Yoon, Youngsub;Baek, Yunju
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.1
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    • pp.181-192
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    • 2017
  • Recently, many researches are carried out for Advanced Driver Assistant Systems(ADAS). Especially, many studies are carried out to analyze the road situation using road images. In order to improve the performance of the road situation analysis, it is necessary to acquire images with appropriate exposure time. In this paper, we design and implement multi exposure smart vehicular camera which provides road traffic information to driver. Proposed device can acquire road traffic information by on-board camera and various sensors. And we propose an auto exposure control algorithm for the road environment to increase accuracy of image recognition. In addition, we also propose the switching ROI method that apply existing ROI techniques to overcome a limited computation power of embedded devices. We developed prototype of multi exposure smart vehicular camera and performed experiments to evaluate proposed auto exposure control algorithm and switching ROI method. The results show that the average accuracy of image recognition increased by 13.45%.

Development of Data Mining Algorithm for Implementation of Fine Dust Numerical Prediction Model (미세먼지 수치 예측 모델 구현을 위한 데이터마이닝 알고리즘 개발)

  • Cha, Jinwook;Kim, Jangyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.4
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    • pp.595-601
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    • 2018
  • Recently, as the fine dust level has risen rapidly, there is a great interest. Exposure to fine dust is associated with the development of respiratory and cardiovascular diseases and has been reported to increase death rate. In addition, there exist damage to fine dusts continues at industrial sites. However, exposure to fine dust is inevitable in modern life. Therefore, predicting and minimizing exposure to fine dust is the most efficient way to reduce health and industrial damages. Existing fine dust prediction model is estimated as good, normal, poor, and very bad, depending on the concentration range of the fine dust rather than the concentration value. In this paper, we study and implement to predict the PM10 level by applying the Artificial neural network algorithm and the K-Nearest Neighbor algorithm, which are machine learning algorithms, using the actual weather and air quality data.

Development of the Estimating Equation for Children's High-Exposure to Habitat's Magnetic Field using Particle Swarm Optimization (Particle Swarm Optimization을 이용한 소아고노출 생활자계 추정식 개발)

  • Hwang, Gi-Hyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.5
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    • pp.1085-1092
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    • 2010
  • This paper describes the development of estimating equation for under 16 aged children's exposure to habitat's magnetic field for 24 hours by using particle swarm optimization(PSO) algorithm, which was carried out by using the measured database collected from the exposure survey to Korean habitat's magnetic field as to under 16 aged Korean students such as preschooler, children in elementary school, and children in middle school. Sex, age, residence type, size of habitation site, distance from power line, and power transmission voltage are used as the input data of estimating 24 hour's personal exposure to magnetic field. And distribution of 24 hour's personal exposure to magnetic field, exposure characteristic to magnetic field, and exposure characteristic to magnetic field according to special conditions, are analyzed for under 16 aged children.