公开(公告)号：US20090161756A1

公开(公告)日：2009-06-25

申请号：US12003047

申请日：2007-12-19

Applicant: Peng Lin

Inventor： Peng Lin

IPC: H04N11/02 ,  H04N5/335

CPC classification number: H04N5/217 ,  G06T5/002 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10016 ,  G06T2207/20012 ,  G06T2207/20182 ,  G06T2207/20192 ,  H04N5/144 ,  H04N5/772 ,  H04N5/917 ,  H04N19/117 ,  H04N19/137 ,  H04N19/172 ,  H04N19/186 ,  H04N19/85

Abstract: A video filter includes a motion detector to detect motion between frames of a video for each pixel, a shape adaptive spatial filter and a weighted temporal filter. The spatial filter and the temporal filter are smoothly mixed together based on the amount of motion detected by the motion detector for each pixel. When the motion detected by the motion detector is low, the video filter tends to do more temporal filtering. When the motion detected by the motion detector is high, the video filter tends to do more spatial filtering.

Abstract translation: 视频滤波器包括运动检测器，用于检测每个像素的视频帧之间的运动，形状自适应空间滤波器和加权的时间滤波器。 基于每个像素的运动检测器检测的运动量，将空间滤波器和时间滤波器平滑地混合在一起。 当由运动检测器检测到的运动较低时，视频滤波器趋向于进行更多的时间滤波。 当由运动检测器检测到的运动高时，视频滤波器趋向于进行更多的空间滤波。

公开(公告)号：US20080212676A1

公开(公告)日：2008-09-04

申请号：US11713323

申请日：2007-03-02

Applicant: Ming-Chang Liu ,  Peng Lin

Inventor： Ming-Chang Liu ,  Peng Lin

IPC: H04N11/04

CPC classification number: H04N19/57 ,  H04N19/523 ,  H04N19/527 ,  H04N19/56 ,  H04N19/61

Abstract: Local motion estimation is described herein. Each picture of a video is partitioned into blocks for the local motion estimation. An extended-block FFT is calculated for each block, where the extended-block denotes that a certain area around the block is also included for applying FFT. Extending the block for FFT helps to account for the motion of objects that are moving into or out of the block. Phase correlation is applied to attain a set of Motion Vector (MV) candidates for the blocks, and a cost function is evaluated for each MV. If no MV candidate produces a cost function below a pre-defined threshold, a hierarchical variable block matching search is applied and the process is repeated with blocks for finer resolution. Also, predictive MV candidates are used during the block matching search along with temporal constraints tracking to select an MV that yields the minimum cost function.

Abstract translation: 本文描述了局部运动估计。 视频的每个图像被分割成用于局部运动估计的块。 对于每个块计算扩展块FFT，其中扩展块表示块周围的某个区域也被包括以用于FFT。 扩展用于FFT的块有助于解释移入或移出块的对象的运动。 应用相位相关来获得块的运动矢量（MV）候选，并且为每个MV评估成本函数。 如果没有MV候选者产生低于预定义阈值的成本函数，则应用分层可变块匹配搜索，并且使用块重复该过程以进行更精细的分辨。 此外，在块匹配搜索期间使用预测MV候选以及时间约束跟踪来选择产生最小成本函数的MV。

公开(公告)号：US20070216787A1

公开(公告)日：2007-09-20

申请号：US11376205

申请日：2006-03-16

Applicant: Peng Lin ,  Ming Leaw

Inventor： Peng Lin ,  Ming Leaw

IPC: H04N5/208

CPC classification number: H04N5/23212 ,  H04N5/23222 ,  H04N5/23293

Abstract: The present invention discloses an image unsharpness test method for a camera device, wherein firstly, during the focusing stage of an electronic camera device, the image with the highest sharpness is selected to be a contrast image; next, the contrast image is compared with a captured image to obtain the sharpness difference between the contrast image and the captured image; if the difference is too great, the captured image is determined to be unsharp; vice versa, if the difference is very small, the captured image is determined to be sharp. Thereby, the image unsharpness test method for a camera device of the present invention not only can determine whether a captured is sharp enough but also can reduce the photographic errors and promote photographic efficiency.

Abstract translation: 本发明公开了一种用于照相机装置的图像不清晰度测试方法，其中首先，在电子照相机装置的聚焦阶段期间，将具有最高锐度的图像选择为对比度图像; 接下来，将对比度图像与拍摄图像进行比较，以获得对比度图像和拍摄图像之间的锐度差; 如果差异太大，则捕获的图像被确定为不清晰; 反之亦然，如果差异非常小，则捕获的图像被确定为锐利的。 因此，本发明的照相机装置的图像不清晰度测试方法不仅可以确定拍摄是否足够锐利，还可以减少拍摄错误并提高照相效率。

公开(公告)号：US20070200958A1

公开(公告)日：2007-08-30

申请号：US11799345

申请日：2007-04-30

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: H04N5/21

CPC classification number: H04N9/646

Abstract: A superior Color Transient Improvement technique is adaptive to the local image features, so that more natural color edge transition improvement can be accomplished. A gain control function is provided that depends on the local image feature so that different regions of the image can be treated differently. Further, a correction signal is controlled in such a way (by the local image feature) that neither undershoot nor overshoot occurs, eliminating the need for post-processing for undershoot/overshoot removal.

公开(公告)号：US07260272B2

公开(公告)日：2007-08-21

申请号：US10617064

申请日：2003-07-10

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: G06K9/40

CPC classification number: G06K9/40 ,  G06T5/002 ,  G06T5/10 ,  G06T2207/10016 ,  G06T2207/20064

Abstract: An improved noise reduction process by wavelet thresholding utilizes a discrete wavelet transform to decompose the image into different resolution levels. A thresholding function is then applied in different resolution levels with different threshold values to eliminate insignificant wavelet coefficients which mainly correspond to the noise in the original image. Finally, an inverse discrete wavelet transform is applied to generate the noise-reduced video image. The threshold values are based on the relationships between the noise standard deviations of different decomposition levels in the wavelet domain and the noise standard deviation of the original image.

Abstract translation: 通过小波阈值处理改进的降噪过程利用离散小波变换将图像分解成不同的分辨率级别。 然后将阈值函数应用于具有不同阈值的不同分辨率级别，以消除主要对应于原始图像中的噪声的无意义的小波系数。 最后，应用逆离散小波变换来生成降噪视频图像。 阈值基于小波域中不同分解级别的噪声标准偏差与原始图像的噪声标准偏差之间的关系。

公开(公告)号：US20060245506A1

公开(公告)日：2006-11-02

申请号：US11121819

申请日：2005-05-02

Applicant: Peng Lin ,  Yeong-Taeg Kim ,  Seong-Joo Lee

Inventor： Peng Lin ,  Yeong-Taeg Kim ,  Seong-Joo Lee

IPC: H04B1/66

CPC classification number: H04N19/86 ,  H04N19/117 ,  H04N19/14 ,  H04N19/17 ,  H04N19/60 ,  H04N19/80

Abstract: A ringing area detector classifies the input image into two regions: a mosquito noise region (i.e. filtering region) and a non-mosquito noise region (i.e. non-filtering region), and uses this classification information to adaptively remove the mosquito noise in a mosquito noise reduction system. The mosquito noise reduction system includes a ringing area detector, a local noise power estimator, a smoothing filter, and a mixer. The ringing area detector includes an edge detector, a near edge detector, a texture detector, and a filtering region decision block. The ringing detection block detects the ringing area where the smoothing filter is to be applied. The local noise power estimator controls the filter strength of the smoothing filter. The smoothing filter smoothes the input image. The mixer mixes the smoothed image and the original image properly based on the region information from the ringing area detection block.

Abstract translation: 振铃区域检测器将输入图像分为两个区域：蚊子噪声区域（即滤波区域）和非蚊子区域（即非滤波区域），并使用该分类信息自适应地消除蚊子中的蚊子噪声 降噪系统 蚊式降噪系统包括振铃区域检测器，局部噪声功率估计器，平滑滤波器和混频器。 振铃区域检测器包括边缘检测器，近边缘检测器，纹理检测器和滤波区域判定块。 振铃检测块检测要应用平滑滤波器的振铃区域。 本地噪声功率估计器控制平滑滤波器的滤波器强度。 平滑滤波器平滑输入图像。 混合器根据来自振铃区域检测块的区域信息正确地混合平滑图像和原始图像。

公开(公告)号：US09223338B2

公开(公告)日：2015-12-29

申请号：US13594115

申请日：2012-08-24

Applicant: Masayoshi Mukaide ,  Yu Ning Peng ,  Guo Li ,  Peng Lin

Inventor： Masayoshi Mukaide ,  Yu Ning Peng ,  Guo Li ,  Peng Lin

IPC: G06F1/16 ,  G02F1/1333

CPC classification number: G06F1/1601 ,  G02F1/133308 ,  G02F2001/13332 ,  G02F2001/133322 ,  G06F1/1637

Abstract: The instant application describes a display device including a display panel; a first component forming the front portion of the cabinet; a second component forming the rear portion of the cabinet; a metal plate comprising a first flat portion parallel to the display surface of the display panel and a second flat portion perpendicular to the first flat portion; an engaging portion provided on the first flat portion, the engaging portion being engaged with the first component; a female screw portion to which a screw penetrating the second component is inserted, and a receiving portion provided on the first component to which the engaging portion is engaged.

Abstract translation: 本申请描述了包括显示面板的显示设备; 形成所述机壳前部的第一部件; 形成机壳后部的第二部件; 金属板，包括平行于所述显示面板的显示面的第一平坦部分和与所述第一平坦部分垂直的第二平坦部分; 设置在所述第一平坦部分上的接合部分，所述接合部分与所述第一部件接合; 插入穿过第二部件的螺钉的阴螺纹部分和设置在接合部分接合到的第一部件上的接纳部分。

公开(公告)号：US08890986B2

公开(公告)日：2014-11-18

申请号：US13170478

申请日：2011-06-28

Applicant: Scott Smith ,  Dong Li ,  Peng Lin

Inventor： Scott Smith ,  Dong Li ,  Peng Lin

IPC: H04N5/235 ,  H04N3/14 ,  H04N5/355 ,  H04N5/353 ,  H04N5/232

CPC classification number: H04N5/23254 ,  H04N5/2353 ,  H04N5/2355 ,  H04N5/3535 ,  H04N5/35554

Abstract: An imager includes an array of pixels arranged in rows and a control circuit for sequentially capturing first and second image frames from the array of pixels. The control circuit is configured to sequentially capture first and second pairs of adjacent rows of pixels during first and second exposure times, respectively, when capturing the first image frame. The control circuit is also configured to sequentially capture first and second pairs of adjacent rows of pixels during second and first exposure times, respectively, when capturing the second image frame. The first exposure times during the first and second frames are of similar duration; and the second exposure times during the first and second frames are of similar duration. The control circuit is configured to detect motion of an object upon combining the first and second image frames and, then, correct for the motion of the object.

Abstract translation: 成像器包括排列成行的像素阵列和用于从像素阵列顺序捕获第一和第二图像帧的控制电路。 控制电路被配置为在捕获第一图像帧时分别在第一和第二曝光时间期间顺序捕获第一和第二对相邻像素行对。 控制电路还被配置为在捕获第二图像帧时分别在第二和第一曝光时间期间顺序捕获第一和第二对相邻像素行。 在第一和第二帧期间的第一曝光时间具有相似的持续时间; 并且第一和第二帧期间的第二曝光时间具有相似的持续时间。 控制电路被配置为在组合第一和第二图像帧时检测对象的运动，然后校正对象的运动。

公开(公告)号：US08766999B2

公开(公告)日：2014-07-01

申请号：US12784066

申请日：2010-05-20

Applicant: Peng Lin

Inventor： Peng Lin

IPC: G09G5/02 ,  G06K9/00

CPC classification number: G09G5/10 ,  G06T5/003 ,  G06T5/007 ,  G06T2207/20208 ,  G09G2320/0271 ,  G09G2320/066 ,  G09G2360/16

Abstract: This is generally directed to systems and methods for local tone mapping of high dynamic range (“HDR”) images. For example, a HDR image can have its larger dynamic range mapped into the smaller dynamic range of a display device. In some embodiments, to perform the local tone mapping, a RGB to Y converter can be used to convert the input image signal to a luminance signal in the YCgCo color space, a shape adaptive filter can be used to separate the luminance signal into its illumination and reflectance components, contrast compression can be applied to the illumination component, image sharpening can be applied to the reflectance component, and the processed illumination and reflection components can be used to calculate a processed RGB signal. The dynamic range of the processed RGB signal can then be mapped into the dynamic range of the display device.

Abstract translation: 这通常涉及用于高动态范围（“HDR”）图像的本地色调映射的系统和方法。 例如，HDR图像可以将其较大的动态范围映射到显示设备的较小的动态范围。 在一些实施例中，为了执行本地色调映射，可以使用RGB至Y转换器将输入图像信号转换为YCgCo色彩空间中的亮度信号，形状自适应滤波器可用于将亮度信号分离为其照明 并且反射分量可以对照明分量施加对比度压缩，可以对反射分量应用图像锐化，并且可以使用经处理的照明和反射分量来计算经处理的RGB信号。 然后，处理的RGB信号的动态范围可以被映射到显示装置的动态范围。

公开(公告)号：US08553758B2

公开(公告)日：2013-10-08

申请号：US11713323

申请日：2007-03-02

Applicant: Ming-Chang Liu ,  Peng Lin

Inventor： Ming-Chang Liu ,  Peng Lin

IPC: H04N11/04 ,  H04B1/66

CPC classification number: H04N19/57 ,  H04N19/523 ,  H04N19/527 ,  H04N19/56 ,  H04N19/61

Abstract: Local motion estimation is described herein. Each picture of a video is partitioned into blocks for the local motion estimation. An extended-block FFT is calculated for each block, where the extended-block denotes that a certain area around the block is also included for applying FFT. Extending the block for FFT helps to account for the motion of objects that are moving into or out of the block. Phase correlation is applied to attain a set of Motion Vector (MV) candidates for the blocks, and a cost function is evaluated for each MV. If no MV candidate produces a cost function below a pre-defined threshold, a hierarchical variable block matching search is applied and the process is repeated with blocks for finer resolution. Also, predictive MV candidates are used during the block matching search along with temporal constraints tracking to select an MV that yields the minimum cost function.

Abstract translation: 本文描述了局部运动估计。 视频的每个图像被分割成用于局部运动估计的块。 对于每个块计算扩展块FFT，其中扩展块表示块周围的某个区域也被包括以用于FFT。 扩展用于FFT的块有助于解释移入或移出块的对象的运动。 应用相位相关来获得块的运动矢量（MV）候选，并且为每个MV评估成本函数。 如果没有MV候选者产生低于预定义阈值的成本函数，则应用分层可变块匹配搜索，并且使用块重复该过程以进行更精细的分辨。 此外，在块匹配搜索期间使用预测MV候选以及时间约束跟踪来选择产生最小成本函数的MV。