公开(公告)号：US07463688B2

公开(公告)日：2008-12-09

申请号：US10345555

申请日：2003-01-16

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: H04B1/66

CPC classification number: H04N19/86 ,  H04N19/14 ,  H04N19/61 ,  H04N19/80

Abstract: A method for efficient removal of blocking artifacts in blocks of pixels forming a video image frame, without blurring image edges. First a current pixel is checked to determine whether it is a block boundary pixel. If the current pixel is a boundary pixel, then the “1-D central variance” is computed for horizontal, vertical and diagonal directions that cross the block boundary by using three pixels along a line centered at the current pixel. The “least central variance direction” is then determined by finding the direction which has minimal “1-D central variance”. Then, the current pixel is updated by replacing its value with the average value of the three pixels along the “least central variance direction”, to essentially remove undesirable blocking artifacts.

Abstract translation: 一种用于有效地去除形成视频图像帧的像素块中的块伪影而不模糊图像边缘的方法。 首先，检查当前像素以确定其是否是块边界像素。 如果当前像素是边界像素，则通过沿着当前像素的中心线的三个像素来计算横穿块边界的水平，垂直和对角线方向的“1-D中心方差”。 然后通过找到具有最小“1-D中心方差”的方向来确定“最小中心方差方向”。 然后，通过用“最小中心方差方向”的三个像素的平均值替换其值来更新当前像素，以便基本上去除不想要的块伪影。

公开(公告)号：US20070217707A1

公开(公告)日：2007-09-20

申请号：US11376208

申请日：2006-03-16

Applicant: Peng Lin ,  Chan Chou

Inventor： Peng Lin ,  Chan Chou

IPC: G06K9/40

CPC classification number: H04N5/23293 ,  G06T7/41 ,  G06T2207/20021 ,  H04N5/23212 ,  H04N5/23222

Abstract: The present invention discloses a test method for image sharpness, which can instantly determine the sharpness of a captured image, wherein a captured image is firstly divided into multiple blocks with each block composed of multiple pixels; in each block of the captured image, the pixels having higher sharpnesses are selected, and the sharpnesses of those pixels are summed up to be the sharpness of the related block; the estimated sharpness of the captured image is also obtained similarly; and the estimated sharpness is compared with a threshold value to determine whether the captured image is sharp enough. Thereby, the present invention can test the sharpness of an image fast and correctly and inform the user of the status of the captured image and provide the user with corresponding suggestions.

Abstract translation: 本发明公开了一种图像清晰度的测试方法，可以立即确定拍摄图像的清晰度，其中首先将拍摄图像划分为多个块，每个块由多个像素组成; 在拍摄图像的每个块中，选择具有较高锐度的像素，并且将这些像素的锐度归纳为相关块的清晰度; 同样获得了拍摄图像的估计清晰度; 并将估计的锐度与阈值进行比较，以确定捕获的图像是否足够锐利。 因此，本发明可以快速，准确地测试图像的清晰度，并向用户通知拍摄图像的状态，并向用户提供相应的建议。

公开(公告)号：US07199838B2

公开(公告)日：2007-04-03

申请号：US10871729

申请日：2004-06-17

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: H04N5/21

CPC classification number: H04N5/144 ,  G06T5/002 ,  G06T5/20 ,  G06T5/50 ,  G06T2207/10016 ,  G06T2207/20182 ,  G06T2207/20192 ,  G06T2207/20216 ,  H04N5/21

Abstract: A video noise reduction system for a set of video frames that computes a first motion signal using a current frame and multiple consecutive previous frames, computes a second motion signal using the current frame and the processed preceding frame; computes the multi-frame temporal average of the current frame and multiple consecutive previous frames; computes the recursive average of the current frame and the processed preceding frame; generates a temporal filtered signal by soft switching between the multi-frame temporal average and the recursive average based on the first motion signal; applies a spatial filter to the current frame to generate a spatial filtered signal; and combines the temporal filtered signal and the spatial filtered signal based on the second motion signal to generate a final noise reduced video output signal.

Abstract translation: 一种用于使用当前帧和多个连续先前帧计算第一运动信号的一组视频帧的视频噪声降低系统，使用当前帧和处理的先前帧计算第二运动信号; 计算当前帧和多个连续的先前帧的多帧时间平均值; 计算当前帧和处理的前一帧的递归平均值; 通过基于第一运动信号的多帧时间平均和递归平均之间的软切换来产生时间滤波信号; 对当前帧应用空间滤波器以产生空间滤波信号; 并且基于所述第二运动信号组合所述时间滤波信号和所述空间滤波信号以生成最终降噪视频输出信号。

公开(公告)号：US20050094889A1

公开(公告)日：2005-05-05

申请号：US10697362

申请日：2003-10-30

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: H04N5/21 ,  G06K9/40 ,  G06T5/00

CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T2207/10016 ,  G06T2207/20008 ,  G06T2207/20012 ,  G06T2207/20192

Abstract: A global and local statistics controlled noise reduction system in which the video image noise reduction processing is effectively adaptive to both image local structure and global noise level. A noise estimation method provides reliable global noise statistics to the noise reduction system. The noise reduction system dynamically/adaptively configures a local filter for processing each image pixel, and processes the pixel with that local filter. The filtering process of the noise reduction system is controlled by both global and local image statistics that are also computed by the system.

Abstract translation: 一种全局和局部统计控制噪声降低系统，其中视频图像降噪处理有效地适应图像局部结构和全局噪声水平。 噪声估计方法为噪声降低系统提供可靠的全局噪声统计。 降噪系统动态/自适应地配置本地滤波器以处理每个图像像素，并且使用该局部滤波器处理该像素。 降噪系统的滤波过程由系统计算的全局和局部图像统计控制。

公开(公告)号：US08346008B2

公开(公告)日：2013-01-01

申请号：US12480970

申请日：2009-06-09

Applicant: Peng Lin

Inventor： Peng Lin

IPC: G06K9/40 ,  H04N5/217

CPC classification number: H04N5/35536 ,  H04N5/35509 ,  H04N5/357

Abstract: This is generally directed to systems and methods for noise reduction in high dynamic range (“HDR”) imaging systems. In some embodiments, multiple images of the same scene can be captured, where each of the images is exposed for a different amount of time. An HDR image may be created by suitably combining the images. However, the signal-to-noise ratio (“SNR”) curve of the resulting HDR image can have discontinuities in sections of the SNR curve corresponding to shifts between different exposure times. Accordingly, in some embodiments, a noise model for the HDR image can be created that takes into account these discontinuities in the SNR curve. For example, a noise model can be created that smoothes the discontinuities of the SNR curve into a continuous function. This noise model may then be used with a Bayer Filter or any other suitable noise filter to remove noise from the HDR image.

Abstract translation: 这通常涉及用于高动态范围（HDR）成像系统中降噪的系统和方法。 在一些实施例中，可以捕获相同场景的多个图像，其中每个图像被曝光不同的时间量。 可以通过适当地组合图像来创建HDR图像。 然而，所得HDR图像的信噪比（SNR）曲线可以在对应于不同曝光时间之间的移动的SNR曲线的部分中具有不连续性。 因此，在一些实施例中，可以创建考虑SNR曲线中的这些不连续性的用于HDR图像的噪声模型。 例如，可以创建将SNR曲线的不连续性平滑成连续函数的噪声模型。 然后可以将该噪声模型与拜耳滤波器或任何其它合适的噪声滤波器一起使用以从HDR图像中去除噪声。

公开(公告)号：US20100201850A1

公开(公告)日：2010-08-12

申请号：US12366865

申请日：2009-02-06

Applicant: Peng Lin

Inventor： Peng Lin

IPC: H04N9/64 ,  H04N5/335

CPC classification number: H04N5/357 ,  G06T3/4015 ,  H04N5/367 ,  H04N9/045 ,  H04N2209/046

Abstract: Embodiments describe noise reduction methods and systems for imaging devices having a pixel array having a plurality of pixels, each pixel representing one of a plurality of captured colors and having an associated captured color pixel value. Noise reduction methods filter a captured color pixel value for a respective pixel based on the captured color pixel values associated with pixels in a window of pixels surrounding the respective pixel. Disclosed embodiments provide a low cost noise reduction filtering process that takes advantage of the correlations among the red, green and blue color channels to efficiently remove noise while retaining image sharpness. A noise model can be used to derive a parameter of the noise reduction methods.

Abstract translation: 实施例描述了用于成像装置的噪声降低方法和系统，其具有具有多个像素的像素阵列，每个像素表示多个捕获的颜色之一并具有相关联的捕获的彩色像素值。 降噪方法基于与围绕相应像素的像素的窗口中的像素相关联的捕获的彩色像素值，来过滤针对相应像素的捕获的彩色像素值。 公开的实施例提供了低成本噪声降低滤波处理，其利用红色，绿色和蓝色色彩通道之间的相关性来有效地消除噪声，同时保持图像清晰度。 可以使用噪声模型来导出降噪方法的参数。

公开(公告)号：US20100013919A1

公开(公告)日：2010-01-21

申请号：US12173327

申请日：2008-07-15

Applicant: Peng Lin ,  Todd Sachs

Inventor： Peng Lin ,  Todd Sachs

IPC: H04N7/18

CPC classification number: H04N5/144 ,  G06T7/254 ,  G06T2200/28 ,  G06T2207/10016 ,  G06T2207/20068 ,  G06T2207/30232 ,  H04N5/23248

Abstract: A non-frame-based motion detection method and apparatus for imagers requires only a few line buffers and little computation. The non-frame-based, low cost motion detection method and apparatus are well suited for “system-a-chip” (SOC) imager implementations.

Abstract translation: 用于成像器的非基于帧的运动检测方法和装置仅需要几行线缓冲器和很少的计算。 基于非帧的低成本运动检测方法和装置非常适合于“系统芯片”（SOC）成像器实现。

公开(公告)号：US20090278945A1

公开(公告)日：2009-11-12

申请号：US12149723

申请日：2008-05-07

Applicant: Peng Lin

Inventor： Peng Lin

IPC: H04N5/228

CPC classification number: H04N5/23248 ,  H04N5/23267

Abstract: A method and apparatus for image stabilization while mitigating the amplification of image noise by using a motion adaptive system employing spatial and temporal filtering of pixel signals from multiple captured frames of a scene.

Abstract translation: 一种用于图像稳定的方法和装置，同时通过使用对来自场景的多个拍摄帧的像素信号进行空间和时间滤波的运动自适应系统来减轻图像噪声的放大。

公开(公告)号：US20080002902A1

公开(公告)日：2008-01-03

申请号：US11853655

申请日：2007-09-11

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: G06K9/40

CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T2207/10016 ,  G06T2207/20008 ,  G06T2207/20012 ,  G06T2207/20192

Abstract: A global and local statistics controlled noise reduction system in which the video image noise reduction processing is effectively adaptive to both image local structure and global noise level. A noise estimation method provides reliable global noise statistics to the noise reduction system. The noise reduction system dynamically/adaptively configures a local filter for processing each image pixel, and processes the pixel with that local filter. The filtering process of the noise reduction system is controlled by both global and local image statistics that are also computed by the system.

Abstract translation: 一种全局和局部统计控制噪声降低系统，其中视频图像降噪处理有效地适应图像局部结构和全局噪声水平。 噪声估计方法为噪声降低系统提供可靠的全局噪声统计。 降噪系统动态/自适应地配置本地滤波器以处理每个图像像素，并且使用该局部滤波器处理该像素。 降噪系统的滤波过程由系统计算的全局和局部图像统计控制。

公开(公告)号：US20060044475A1

公开(公告)日：2006-03-02

申请号：US10934025

申请日：2004-09-02

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: H04N5/21

CPC classification number: H04N5/21 ,  Y10S348/91

Abstract: A video noise reduction system for reducing video noise in a sequence of video frames. In the video noise reduction system, a temporal filter computes multiple temporal average values for the video frames in different temporal directions. A motion detector computes multiple motion signal values for the video frames in different temporal directions. Finally, a control unit selects one of the temporal average values based on the motion signal values as output.

Abstract translation: 一种用于降低视频帧序列中的视频噪声的视频降噪系统。 在视频噪声降低系统中，时间滤波器在不同的时间方向上计算视频帧的多个时间平均值。 运动检测器在不同的时间方向上计算视频帧的多个运动信号值。 最后，控制单元基于运动信号值作为输出来选择时间平均值之一。