首页> 外文期刊>Machine Vision and Applications >Restoring subsampled color images
【24h】

Restoring subsampled color images

机译:恢复欠采样的彩色图像

获取原文
获取原文并翻译 | 示例
       

摘要

In some capturing devices, such as digital cam- eras, there is only one color sensor at each pixel. Usually, 50 /100 of the pixels have only a green sensor, 25 /100 only a red sensor, and 25 /100 only a blur sensor. The problem is then to restore the two missing colors at each pixel-this is called "demosaicing", because the original samples are usu- ally arranged in a mosaic pattern. In this short paper, a few demosaicing algorithms are developed and compared. They all incorporate a notion of "smoothness in chroma space", by imposing conditions not only on the behavior of each color channel separately, but also on the correlation between the three channels.
机译:在某些捕获设备(例如数码相机)中,每个像素只有一个颜色传感器。通常,50/100像素只有一个绿色传感器,25/100只有一个红色传感器,25/100只有模糊传感器。然后的问题是在每个像素处恢复两种缺失的颜色-这称为“去马赛克”,因为原始样本通常以马赛克图案排列。在这篇短文中,开发并比较了几种去马赛克算法。它们不仅将条件分别施加在每个颜色通道的行为上,而且还施加在三个通道之间的相关性上,因此都包含了“色度空间中的平滑度”的概念。

著录项

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