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Real-time look-up table-based color correction for still image stabilization of digital cameras without using frame memory

机译:Real-time look-up table-based color correction for still image stabilization of digital cameras without using frame memory

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摘要

Digital cameras usually decrease exposure time to capture motion-blur-free images. However, this operation will generate an under-exposed image with a low-budget complementary metal-oxide semiconductor image sensor (CIS). Conventional color correction algorithms can efficiently correct under-exposed images; however, they are generally not performed in real time and need at least one frame memory if they are implemented by hardware. The authors propose a real-time look-up table-based color correction method that corrects under-exposed images with hardware without using frame memory. The method utilizes histogram matching of two preview images, which are exposed for a long and short time, respectively, to construct an improved look-up table (ILUT) and then corrects the captured under-exposed image in real time. Because the ILUT is calculated in real time before processing the captured image, this method does not require frame memory to buffer image data, and therefore can greatly save the cost of CIS. This method not only supports single image capture, but also bracketing to capture three images at a time. The proposed method was implemented by hardware description language and verified by a field-programmable gate array with a 5 M CIS. Simulations show that the system can perform in real time with a low cost and can correct the color of under-exposed images well.

著录项

  • 来源
    《Optical Engineering》 |2012年第9期|093201-1-093201-11|共11页
  • 作者单位

    China University of Geosciences, Faculty of Mechanical and Electronic Information, Wuhan 430074, China;

    Hanyang University, Department of Electronics and Computer Engineering, Seoul, 133-791, Republic of Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 计量学;
  • 关键词

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