公开(公告)号：US08400534B2

公开(公告)日：2013-03-19

申请号：US12366865

申请日：2009-02-06

Applicant: Peng Lin

Inventor： Peng Lin

IPC: H04N9/64

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 pixel value. Noise reduction methods filter a captured pixel value for a respective pixel based on the captured 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设备的降噪方法和系统，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且具有相关联的捕获的像素值。 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像素值来过滤针对相应像素的捕获像素值。 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：US08325227B2

公开(公告)日：2012-12-04

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级芯片（SOC）成像器的实现。

公开(公告)号：US20120219235A1

公开(公告)日：2012-08-30

申请号：US13074976

申请日：2011-03-29

Applicant: Johannes Solhusvik ,  Sohrab Yaghmai ,  Peng Lin

Inventor： Johannes Solhusvik ,  Sohrab Yaghmai ,  Peng Lin

IPC: G06K9/40

CPC classification number: G06T5/50 ,  G06T2207/10144 ,  G06T2207/20208

Abstract: Multiple-exposure high dynamic range image processing may be performed that filters pixel values that are distorted by blooming from nearby saturated pixels. Pixel values that are near saturated pixels may be identified as pixels that may be affected by blooming. The contributions from those pixels may be minimized when producing a final image. Multiple-exposure images may be linearly combined to produce a final high dynamic range image. Pixel values that may be distorted by blooming may be given less weight in the linear combination.

Abstract translation: 可以执行多次曝光高动态范围图像处理，其对来自附近的饱和像素的渐变而失真的像素值进行滤波。 靠近饱和像素的像素值可以被识别为可能受到开花影响的像素。 当产生最终图像时，这些像素的贡献可能被最小化。 多曝光图像可以被线性组合以产生最终的高动态范围图像。 在线性组合中可能会发生可能由于起霜而变形的像素值。

公开(公告)号：US20120188389A1

公开(公告)日：2012-07-26

申请号：US13110252

申请日：2011-05-18

Applicant: Peng Lin ,  Scott Smith ,  Robert A. Black

Inventor： Peng Lin ,  Scott Smith ,  Robert A. Black

IPC: H04N5/225

CPC classification number: H04N5/23232 ,  G06T5/006 ,  G06T7/55 ,  G06T2207/10024 ,  H04N5/2258 ,  H04N5/2628 ,  H04N5/3415

Abstract: Electronic devices may include camera modules. A camera module may include an array camera having an array of lenses and an array of corresponding image sensors. Parallax correction and depth mapping methods may be provided for array cameras. A parallax correction method may include a global and a local parallax correction. A global parallax correction may be determined based on one-dimensional horizontal and vertical projections of edge images. Local parallax corrections may be determined using a block matching procedure. Further improvements to local parallax corrections may be generated using a relative block color saturation test, a smoothing of parallax correction vectors and, if desired, using a cross-check between parallax correction vectors determined for multiple image sensors. Three dimensional depth maps may be generated based on parallax correction vectors.

Abstract translation: 电子设备可以包括相机模块。 相机模块可以包括具有透镜阵列和相应图像传感器阵列的阵列相机。 可以为阵列相机提供视差校正和深度映射方法。 视差校正方法可以包括全局和局部视差校正。 可以基于边缘图像的一维水平和垂直投影来确定全局视差校正。 可以使用块匹配过程来确定局部视差校正。 可以使用相对块颜色饱和度测试，视差校正向量的平滑以及如果需要使用为多个图像传感器确定的视差校正矢量之间的交叉检查来产生对局部视差校正的进一步改进。 可以基于视差校正矢量生成三维深度图。

公开(公告)号：US20110285737A1

公开(公告)日：2011-11-24

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：US07522220B2

公开(公告)日：2009-04-21

申请号：US11094942

申请日：2005-03-30

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: G06K9/40 ,  H04N5/00 ,  H04N5/21

CPC classification number: G06K9/40 ,  G06T5/002 ,  G06T5/20 ,  G06T2207/10016 ,  G06T2207/20012 ,  G06T2207/20192

Abstract: A noise reduction system that not only preserves details in images but also provides essentially clean, smooth, and natural looking homogeneous regions in images. The noise reduction system utilizes a dual-channel adaptive noise reduction technique. The input signal is first split into two channels (i.e., a low-pass channel and a high-pass channel), by a channel splitting filter. Then the two channel signals are processed separately. The low-pass channel signal is processed using an adaptive directional filter based on the estimation of the local 2D and 1D statistics and the detection of the local image structure direction. The high-pass channel signal is processed by a non-linear filtering method based on the estimation of the local statistics and the noise level of the high-pass channel signal, which is derived from the noise level of the original input signal. The processed signals from the two channels are summed together to get the final output.

Abstract translation: 一种降噪系统，不仅可以保留图像中的细节，还可以在图像中提供基本上干净，平滑和自然的均匀区域。 降噪系统采用双通道自适应降噪技术。 首先通过信道分离滤波器将输入信号分成两个信道（即，低通信道和高通信道）。 然后分别处理两个通道信号。 基于本地2D和1D统计量的估计和局部图像结构方向的检测，使用自适应方向滤波器处理低通信道信号。 基于从原始输入信号的噪声电平导出的高通道信号的局部统计量和噪声电平的估计，通过非线性滤波方法处理高通道信号。 来自两个通道的经处理的信号被加在一起以得到最终的输出。

公开(公告)号：US07317842B2

公开(公告)日：2008-01-08

申请号：US10697362

申请日：2003-10-30

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：US07218794B2

公开(公告)日：2007-05-15

申请号：US10412030

申请日：2003-04-10

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: G06K9/40 ,  H04B1/66

CPC classification number: H04N19/86 ,  H04N5/21 ,  H04N19/865

Abstract: A grid detector detects the existence and the location of grids in DCT compressed videos. When a grid is detected in the input video, a post-processor is turned on and the de-blocking processing is applied on the grid detected by the grid detector. When no grid is detected, indicating that the input video is either an uncompressed video or an already de-blocked video, post-processing turned off to avoid degrading the picture quality. To detect grids, the grid detector: (a) computes horizontal and vertical second derivatives for all pixels of the image; (b) generates horizontal second derivative zero-crossing mask and vertical second derivative zero-crossing mask by marking the those pixels whose second derivatives have opposite signs with respect to their horizontal or vertical neighboring pixels'; (c) applies horizontal and vertical integral projections to the horizontal and vertical zero-crossing masks respectively; (d) generates the local maximum masks by locating the local maximum of the two projected 1-D signals; and (e) determines grid location by computing the positions of the local maximum masks.

Abstract translation: 电网检测器检测DCT压缩视频中网格的存在和位置。 当在输入视频中检测到网格时，后处理器被打开，并且解块处理被应用于由网格检测器检测到的网格上。 当没有检测到网格时，指示输入视频是未压缩视频或已经解除封锁的视频，后处理关闭以避免图像质量下降。 为了检测网格，网格检测器：（a）为图像的所有像素计算水平和垂直二阶导数; （b）通过标记相对于它们的水平或垂直相邻像素具有相反符号的那些像素来产生水平二次导数过零掩模和垂直二次导数过零掩模; （c）分别对水平和垂直过零面罩施加水平和垂直整体投影; （d）通过定位两个投影的1-D信号的局部最大值来产生局部最大掩模; 和（e）通过计算局部最大掩模的位置来确定网格位置。

公开(公告)号：US20070081596A1

公开(公告)日：2007-04-12

申请号：US11246634

申请日：2005-10-06

Applicant: Peng Lin ,  Yeong-Taeg Kim

Inventor： Peng Lin ,  Yeong-Taeg Kim

IPC: H04B1/66

CPC classification number: H04N19/86 ,  H04N19/117 ,  H04N19/14 ,  H04N19/154 ,  H04N19/159 ,  H04N19/172 ,  H04N19/61

Abstract: A video quality adaptive coding artifact reduction system has a video quality analyzer, an artifact reducer, and a filter strength controller. The video quality analyzer employs input video quality analysis to control artifact reduction. The video quality analyzer accesses the video quality of the decoded video sequence to estimate the input video quality. The filter strength controller globally controls the filter strength of the artifact reducer based on the video quality estimate by the video quality analyzer. For low quality input video, the filter strength controller increases the artifact reduction filter strength to more efficiently reduce the artifact. For high quality input video, the filter strength controller decreases the artifact reduction filter strength to avoid blurring image detail.

Abstract translation: 视频质量自适应编码神器减少系统具有视频质量分析器，伪像减速器和滤波强度控制器。 视频质量分析仪采用输入视频质量分析来控制神器减少。 视频质量分析器访问解码视频序列的视频质量，以估计输入视频质量。 过滤强度控制器根据视频质量分析仪的视频质量估计，全局控制人造物减少器的过滤器强度。 对于低质量的输入视频，滤波器强度控制器增加了伪像降低滤波器的强度，以更有效地减少伪像。 对于高质量的输入视频，滤光片​​强度控制器可以减少伪影降低滤光片的强度，以避免图像细节模糊。