公开(公告)号：US20110069902A1

公开(公告)日：2011-03-24

申请号：US12829424

申请日：2010-07-02

申请人： Shu Sian Yang ,  Wen Han Yao ,  Chuan Hsin Lee

发明人： Shu Sian Yang ,  Wen Han Yao ,  Chuan Hsin Lee

IPC分类号： G06K9/40

CPC分类号： G06T5/002 ,  G06T5/20 ,  G06T2207/20012 ,  G06T2207/20021

摘要： An image denoising method includes the steps of: sequentially selecting a pixel in an image as a current pixel; dynamically determining a current search block and a strength parameter; pre-denoising the comparison block of each pixel in the current search block; comparing the comparison block of the pre-denoised neighborhood pixel and the comparison block of the pre-denoised current pixel to obtain a similarity between each neighborhood pixel and the current pixel in the current search block; determining a weighting of each neighborhood pixel related to the current pixel according to the strength parameter, and a distance and the similarity between each neighborhood pixel and the current pixel in the current search block; and weighted averaging each neighborhood pixel and the current pixel in the current search block according to the weighting to obtain a reconstruction value of the current pixel.

摘要翻译： 图像去噪方法包括以下步骤：顺序地选择图像中的像素作为当前像素; 动态地确定当前搜索块和强度参数; 对当前搜索块中每个像素的比较块进行预去噪; 比较预去噪相邻像素的比较块和预去噪的当前像素的比较块，以获得当前搜索块中每个邻域像素与当前像素之间的相似度; 根据强度参数确定与当前像素相关的每个邻域像素的加权，以及当前搜索块中每个邻域像素与当前像素之间的距离和相似度; 并且根据加权对当前搜索块中的每个邻域像素和当前像素进行加权平均，以获得当前像素的重建值。

公开(公告)号：US08885965B2

公开(公告)日：2014-11-11

申请号：US12829424

申请日：2010-07-02

申请人： Shu Sian Yang ,  Wen Han Yao ,  Chuan Hsin Lee

发明人： Shu Sian Yang ,  Wen Han Yao ,  Chuan Hsin Lee

IPC分类号： G06K9/40 ,  G06T5/00 ,  G06T5/20

CPC分类号： G06T5/002 ,  G06T5/20 ,  G06T2207/20012 ,  G06T2207/20021

摘要： An image denoising method includes the steps of: sequentially selecting a pixel in an image as a current pixel; dynamically determining a current search block and a strength parameter; pre-denoising the comparison block of each pixel in the current search block; comparing the comparison block of the pre-denoised neighborhood pixel and the comparison block of the pre-denoised current pixel to obtain a similarity between each neighborhood pixel and the current pixel in the current search block; determining a weighting of each neighborhood pixel related to the current pixel according to the strength parameter, and a distance and the similarity between each neighborhood pixel and the current pixel in the current search block; and weighted averaging each neighborhood pixel and the current pixel in the current search block according to the weighting to obtain a reconstruction value of the current pixel.

摘要翻译： 图像去噪方法包括以下步骤：顺序地选择图像中的像素作为当前像素; 动态地确定当前搜索块和强度参数; 对当前搜索块中每个像素的比较块进行预去噪; 比较预去噪相邻像素的比较块和预去噪的当前像素的比较块，以获得当前搜索块中每个邻域像素与当前像素之间的相似度; 根据强度参数确定与当前像素相关的每个邻域像素的加权，以及当前搜索块中每个邻域像素与当前像素之间的距离和相似度; 并且根据加权对当前搜索块中的每个邻域像素和当前像素进行加权平均，以获得当前像素的重建值。

公开(公告)号：US08594456B2

公开(公告)日：2013-11-26

申请号：US12829447

申请日：2010-07-02

申请人： Shu Sian Yang ,  Chuan Hsin Lee ,  Wen Han Yao

发明人： Shu Sian Yang ,  Chuan Hsin Lee ,  Wen Han Yao

IPC分类号： G06K9/40 ,  G06K9/38

CPC分类号： G06T5/002 ,  G06T5/10 ,  G06T2207/20012

摘要： An image denoising method according to the present invention includes the steps of: sequentially selecting a pixel in an image as a current pixel; dynamically determining a current search block and a strength parameter; transferring the comparison block of each pixel in the current search block to a frequency domain; determining a current frequency basis; obtaining a similarity between each neighborhood pixel and the current pixel in the current search block according to the current frequency basis; determining a weighting of each neighborhood pixel related to the current pixel according to the strength parameter, and a distance and the current pixel in the current search block; and weighted averaging each neighborhood pixel and the current pixel in the current search block according to the weighting so as to obtain a reconstruction value of the current pixel.

摘要翻译： 根据本发明的图像去噪方法包括以下步骤：顺序地选择图像中的像素作为当前像素; 动态地确定当前搜索块和强度参数; 将当前搜索块中的每个像素的比较块传送到频域; 确定当前频率的基础; 根据当前频率基准获得当前搜索块中每个相邻像素与当前像素之间的相似度; 根据强度参数确定与当前像素相关的每个邻域像素的加权，以及当前搜索块中的距离和当前像素; 并且根据加权对当前搜索块中的每个邻域像素和当前像素进行加权平均，以便获得当前像素的重建值。