文件名称:Analyzing-Spatially-varying-Blur
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [PDF]
- 上传时间：
- 2012-11-26
- 文件大小：
- 1.84mb
- 下载次数：
- 0次
- 提 供 者：
- liu****
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
我们提出一种新方法用于单幅图像的空间变化模糊识别,在图像中的每个局部小块，这个局部模糊被选择在一个候选PSFS有限集中间，用一个极大似然方法。我们打算用广义似然减少参数的数量，用广义奇异值分解限制计算值，但是要对图像做出适当的边界假设。-We present a new approach for spatially varying blur identification
using a single image. Within each local patch in the
image, the local blur is selected between a finite set of candidate
PSFs by a maximum likelihood approach. We propose
to work with a Generalized Likelihood to reduce the number
of parameters and we use the Generalized Singular Value Decomposition
to limit the computing cost, while making proper
image boundary hypotheses. The resulting method is fast and
demonstrates good performance on simulated and real examples
originating from applications such as motion blur identification
and depth from defocus.
using a single image. Within each local patch in the
image, the local blur is selected between a finite set of candidate
PSFs by a maximum likelihood approach. We propose
to work with a Generalized Likelihood to reduce the number
of parameters and we use the Generalized Singular Value Decomposition
to limit the computing cost, while making proper
image boundary hypotheses. The resulting method is fast and
demonstrates good performance on simulated and real examples
originating from applications such as motion blur identification
and depth from defocus.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
Analyzing Spatially-varying Blur.pdf