• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Conference on sensors and camera systems for scientific, industrial, and digital photography applications >Sharpening Methods for Images Captured through Bayer Matrix
【24h】

Sharpening Methods for Images Captured through Bayer Matrix

机译：通过拜耳矩阵捕获的图像的锐化方法

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Image resolution and sharpness are essential criteria for a human observer when estimating the image quality. Typically cheap small-sized, low-resolution CMOS-camera sensors do not provide sharp enough images, at least when comparing to high-end digital cameras. Sharpening function can be used to increase the subjective sharpness seen by the observer. In this paper, few methods to apply sharpening for images captured by CMOS imaging sensors through color filter array (CFA) are compared. The sharpening easily adds also the visibility of noise, pixel-cross talk and interpolation artifacts. Necessary arrangements to avoid the amplification of these unwanted phenomenon are discussed. By applying the sharpening only to the green component the processing power requirements can be clearly reduced. By adjusting the red and blue component sharpness, according to the green component sharpening, creation of false colors are reduced highly. Direction search sharpening method can be used to reduce the amplification of the artifacts caused by the CFA interpolation (CFAI). The comparison of the presented methods is based mainly on subjective image quality. Also the processing power and memory requirements are considered.
机译：图像分辨率和锐度是人类观察者在估计图像质量时的基本标准。通常，廉价的小型，低分辨率的CMOS相机传感器不提供足够尖锐的图像，至少在比较高端数码相机时。锐化功能可用于增加观察者所见的主观锐度。在本文中，比较了通过COMOS成像传感器通过滤色器阵列（CFA）捕获的图像施加锐化的几种方法。锐化容易增加噪声，像素交叉口交和插值伪影的可见性。讨论了避免这些不需要的现象的扩增的必要安排。通过将锐化仅应用于绿色部件，可以清楚地减少处理电源要求。通过调整红色和蓝色部件锐度，根据绿色元件锐化，产生虚假颜色的产生高度。方向搜索削尖方法可用于减少由CFA插值（CFAI）引起的伪影的放大。所提出的方法的比较主要基于主观图像质量。还考虑了处理电源和存储器要求。

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