• Title/Summary/Keyword: Shading Correction Algorithm

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FPGA Design and Realization for Scanning Image Enhancement using LUT Shading Correction Algorithm (LUT 쉐이딩 보정 알고리듬을 이용한 스캐닝 이미지 향상 FPGA 설계 구현)

  • Kim, Young-Bin;Ryu, Conan K.R.
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.8
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    • pp.1759-1764
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    • 2012
  • This paper describes FPGA design and realization using the shading correction algorithm for a CCD scan image enhancement. The shading algorithm is used by LUT (Look-up Table). The image enhancement results from that the histogram minimum value and maximum with respect to all pixels of the CCD image should be extracted, and the shading LUT is constructed to keep constant histogram with offset data. The output of sensor be converted to corrected LUT image in preprocessing, and the converting system is realized by FPGA to be enabled to operate in real time. The result of the experimentation for the proposed system is showed to take the scanning time 2.4ms below. The system is presented to be based on a low speed processor system to scan enhanced images in real time and be guaranteed to be low cost.

Shading Correction Algorithm and CMOS Image Sensing System Design (쉐이딩 보정 알고리즘과 CMOS 이미지 센싱 시스템 설계)

  • Kim, Young Bin;Ryu, Conan K.R.
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.1003-1006
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    • 2012
  • The image correction algorithm and system design for CMOS sensor to enhance the image resolution is presented in this paper. The proposed algorithm finds out the image cell from the sensor and process them by the limited memory configuration. The evaluation of the method is done by the designed hardware system. The experimental results are capable of improving contrast per channel and of sensing equalized image quality on an edge of image.

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Low-Complexity Lens-shading Correction Algorithm based on Piece-wise Linear Model (낮은 복잡도를 가지는 구간선형 모델 기반 렌즈음영왜곡 보상 알고리즘)

  • Lee, Bora;Park, Hyun Sang
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.11a
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    • pp.49-52
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    • 2011
  • 본 논문에서는 구간선형 모델을 적용하여 낮은 복잡도를 가지는 LSC(Lens-Shading Correction) 알고리즘을 제안한다. 제안한 알고리즘은 각 화소와 렌즈 중심점으로부터 거리를 정수형으로 계산하고, 이 정수를 거리에 대한 LSC 이득값이 저장된 LUT(Look-Up Table)에 대한 주소로 적용하여, 입력 화소 값에 곱함으로써 LSC를 수행한다. 거리를 구하려면 제곱근 회로가 추가되어야 한다. LUT에 저장된 이득값은 원점으로부터의 거리에 대한 평균 이득값을 저장하고 있기 때문에, 제곱근 계산에 높은 정밀도를 할애하여도 LSC 보상된 영상의 화질에 미치는 영향은 높지 않으므로 정수형 제곱근 연산을 수행한다. 제곱근 계산은 구간 선형화하여 단지 덧셈과 쉬프트 연산만으로 제곱근 연산을 완료할 수 있도록 간략화 하였다. 제안한 알고리즘을 양산 중인 일반 카메라 모듈에 적용한 결과, 카메라모듈 제조업체의 LSC 평가 기준을 상회하는 수준으로 나타나며, 구현될 하드웨어 복잡도가 매우 낮아서 모바일 카메라 구현에 매우 적합하다.

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Algorithms for Implementing One Chip Binary Image Processor (1칩 이진 영상 처리기 구현을 위한 알고리즘)

  • 조석팔;진용옥
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.3
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    • pp.297-306
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    • 1992
  • Algorithms for implementing one chip binary image processor has been studied. In this paper, image quality improvement algorithms, for the data pre-processed with shading and gamma correction after digitizing the analog signal from CCD or CIS, such as : Improved high quality binarization algorithm is suggested. Error diffusion algorithms for high quality half-tone images is analyzed, Fuzzy Theory based mixed mode algorithm is suggested.

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Development of Image Processing for Concrete Surface Cracks by Employing Enhanced Binarization and Shape Analysis Technique (개선된 이진화와 형상분석 기법을 응용한 콘크리트 표면 균열의 화상처리 알고리즘 개발)

  • Lee Bang-Yeon;Kim Yun-Yong;Kim Jin-Keun
    • Journal of the Korea Concrete Institute
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    • v.17 no.3 s.87
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    • pp.361-368
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    • 2005
  • This study proposes an algorithm for detection and analysis of cracks in digital image of concrete surface to automate the measurement process of crack characteristics such as width, length, and orientation based on image processing technique. The special features of algorithm are as follows: (1) application of morphology technique for shading correction, (2) improvement of detection performance based on enhanced binarization and shape analysis, (3) suggestion of calculation algorithms for width, length, and orientation. A MATLAB code was developed for the proposed algorithm, and then test was performed on crack images taken with digital camera to examine validity of the algorithm. Within the limited test in the present study, the proposed algorithm was revealed as accurately detecting and analyzing the cracks when compared to results obtained by a human and classical method.