• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Digital photography VIII >Correcting Saturated Pixels in Images
【24h】

Correcting Saturated Pixels in Images

机译：校正图像中的饱和像素

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

This paper proposes a novel method to correct saturated pixels in images. This method is based on the YCbCr color space and separately corrects the chrominance and the luminance of saturated pixels. Dynamic thresholds are adopted to identify saturated pixels, i.e. the thresholds for different images and different color channels are different. So our method can correct not only RAW images but also processed images. Once the saturated pixels are identified, there are three kinds of saturated pixels: 1-channel saturated pixels, 2-channel saturated pixels and 3-channel saturated pixels. They are denoted as Ω_1, Ω_2 and Ω_3 respectively. Different strategies are implemented to these three kinds of regions. The color of saturated pixels in Ω_1 is corrected according to their original color and the color of their neighborhood. And the color of saturated pixels in Ω_2 and Ω_3 is corrected only according to the color of their neighborhood. The luminance of saturated pixels is corrected using the model proposed in this paper. Experiment results show our method is effective in correcting saturated pixels of RAW images and process images.
机译：本文提出了一种校正图像中饱和像素的新方法。此方法基于YCbCr色彩空间，并分别校正饱和像素的色度和亮度。采用动态阈值来识别饱和像素，即，不同图像和不同颜色通道的阈值不同。因此，我们的方法不仅可以校正RAW图像，还可以校正处理后的图像。一旦识别出饱和像素，就存在三种饱和像素：1通道饱和像素，2通道饱和像素和3通道饱和像素。它们分别表示为Ω_1，Ω_2和Ω_3。对这三种区域实施了不同的策略。 Ω_1中的饱和像素的颜色根据其原始颜色和其邻域的颜色进行校正。 Ω_2和Ω_3中的饱和像素的颜色仅根据其邻域的颜色进行校正。使用本文提出的模型校正饱和像素的亮度。实验结果表明，该方法可有效校正RAW图像和过程图像的饱和像素。

著录项

  • 来源
    《Digital photography VIII》|2012年|p.82990S.1-82990S.11|共11页
  • 会议地点 Burlingame CA(US)
  • 作者

    Jun Fu; Wenbo Ji; Xuanqin Mou;

  • 作者单位

    Institute of Image Processing, School of Electronics Information Engineering Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China;

    Institute of Image Processing, School of Electronics Information Engineering Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China;

    Institute of Image Processing, School of Electronics Information Engineering Xi'an Jiaotong University, Xi'an, Shaanxi 710049, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 信息处理（信息加工）;
  • 关键词

    saturated pixels correction; color correction; color image processing;

    机译：饱和像素校正；色彩校正;彩色图像处理;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号