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    • 1. 发明申请
    • IMAGE DENOISING METHOD
    • 图像吸收方法
    • US20110069902A1
    • 2011-03-24
    • US12829424
    • 2010-07-02
    • Shu Sian YangWen Han YaoChuan Hsin Lee
    • Shu Sian YangWen Han YaoChuan Hsin Lee
    • G06K9/40
    • G06T5/002G06T5/20G06T2207/20012G06T2207/20021
    • 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.
    • 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。
    • 3. 发明授权
    • Image denoising method
    • 图像去噪方法
    • US08885965B2
    • 2014-11-11
    • US12829424
    • 2010-07-02
    • Shu Sian YangWen Han YaoChuan Hsin Lee
    • Shu Sian YangWen Han YaoChuan Hsin Lee
    • G06K9/40G06T5/00G06T5/20
    • G06T5/002G06T5/20G06T2207/20012G06T2207/20021
    • 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.
    • 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。
    • 5. 发明授权
    • Image denoising method
    • 图像去噪方法
    • US08594456B2
    • 2013-11-26
    • US12829447
    • 2010-07-02
    • Shu Sian YangChuan Hsin LeeWen Han Yao
    • Shu Sian YangChuan Hsin LeeWen Han Yao
    • G06K9/40G06K9/38
    • G06T5/002G06T5/10G06T2207/20012
    • 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.
    • 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。
    • 6. 发明申请
    • VIDEO IMAGE CAPTURING AND DISPLAYING METHOD AND RELATED SYSTEM FOR A WEB CAMERA
    • 网络摄像机的视频图像捕获和显示方法及相关系统
    • US20060115165A1
    • 2006-06-01
    • US10904793
    • 2004-11-29
    • Tzu-Yi ChaoChih-Hung LuChuan-Hsin Lee
    • Tzu-Yi ChaoChih-Hung LuChuan-Hsin Lee
    • G06K9/36
    • H04N19/587H04N19/132
    • A video image capturing and displaying method for a web camera is disclosed. The method includes the steps of: capturing a video image consisting of a time series of image frames, at an adaptive frame rate, each image frame comprising a plurality of sequential lines of pixels; compressing the captured video image with one of at least a first compressing mode and a second compressing mode; decompressing the compressed video image corresponding to the compressing mode; storing, in a buffer, the decompressed video image which is not displayed in time; and displaying the video image based on the stored video image and the decompressed video image, wherein the adaptive frame rate in the capturing step is determined according to the display quality of the video image being displayed in the displaying step.
    • 公开了一种用于网络摄像机的视频图像捕获和显示方法。 该方法包括以下步骤:以自适应帧速率捕获由时间序列的图像帧构成的视频图像,每个图像帧包括多个连续的像素行; 使用至少第一压缩模式和第二压缩模式之一压缩所捕获的视频图像; 解压缩与压缩模式对应的压缩视频图像; 在缓冲器中存储未及时显示的解压缩视频图像; 以及基于所存储的视频图像和解压缩视频图像来显示视频图像,其中根据在显示步骤中显示的视频图像的显示质量来确定拍摄步骤中的自适应帧速率。