Method, System and Computer Program Product for Reducing a Delay From Panning a Camera System
    21.
    发明申请
    Method, System and Computer Program Product for Reducing a Delay From Panning a Camera System 有权
    方法,系统和计算机程序产品,用于减少从平移相机系统延迟

    公开(公告)号:US20130083202A1

    公开(公告)日:2013-04-04

    申请号:US13632592

    申请日:2012-10-01

    Inventor: Aziz Umit Batur

    CPC classification number: H04N5/2628 H04N5/23248 H04N5/23274

    Abstract: For reducing a delay from panning a camera system, an estimate is received of a physical movement of the camera system. In response to the estimate, a determination is made of whether the camera system is being panned. In response to determining that the camera system is not being panned, most effects of the physical movement are counteracted in a video sequence from the camera system. In response to determining that the camera system is being panned, most effects of the panning are preserved in the video sequence, while concurrently the video sequence is shifted toward a position that balances flexibility in counteracting effects of a subsequent physical movement of the camera system.

    Abstract translation: 为了减少从相机系统平移的延迟,接收到相机系统的物理运动的估计。 响应于估计,确定相机系统是否被平移。 响应于确定相机系统未被平移,物理运动的大多数效果在相机系统的视频序列中被抵消。 响应于确定相机系统被平移,大多数平移的效果被保留在视频序列中,同时视频序列被转移到平衡柔性以抵消相机系统的随后的物理移动的影响的位置。

    Scene adaptive brightness/contrast enhancement

    公开(公告)号:US09767544B2

    公开(公告)日:2017-09-19

    申请号:US14733272

    申请日:2015-06-08

    Abstract: A method for brightness and contrast enhancement includes computing a luminance histogram of a digital image, computing first distances from the luminance histogram to a plurality of predetermined luminance histograms, estimating first control point values for a global tone mapping curve from predetermined control point values corresponding to a subset of the predetermined luminance histograms selected based on the computed first distances, and interpolating the estimated control point values to determine the global tone mapping curve. The method may also include dividing the digital image into a plurality of image blocks, and enhancing each pixel in the digital image by computing second distances from a pixel in an image block to the centers of neighboring image blocks, and computing an enhanced pixel value based on the computed second distances, predetermined control point values corresponding to the neighboring image blocks, and the global tone mapping curve.

    Transforming wide dynamic range images to reduced dynamic range images
    23.
    发明授权
    Transforming wide dynamic range images to reduced dynamic range images 有权
    将宽动态范围图像转换为减少的动态范围图像

    公开(公告)号:US09148580B2

    公开(公告)日:2015-09-29

    申请号:US14309892

    申请日:2014-06-20

    Abstract: A method of transforming an N-bit raw wide dynamic range (WDR) Bayer image to a K-bit raw red-green-blue (RGB) image wherein N>K is provided that includes converting the N-bit raw WDR Bayer image to an N-bit raw RGB image, computing a luminance image from the N-bit raw RGB image, computing a pixel gain value for each luminance pixel in the luminance image to generate a gain map, applying a hierarchical noise filter to the gain map to generate a filtered gain map, applying the filtered gain map to the N-bit raw RGB image to generated a gain mapped N-bit RGB image, and downshifting the gain mapped N-bit RGB image by (N−K) to generate the K-bit RGB image.

    Abstract translation: 将N位原始宽动态范围(WDR)拜耳图像变换为K比特原始红 - 绿 - 蓝(RGB)图像的方法,其中提供N> K,其包括将N位原始WDR拜耳图像转换为 计算来自N位原始RGB图像的亮度图像,计算亮度图像中的每个亮度像素的像素增益值以产生增益图,将增益图应用到分级噪声滤波器, 生成滤波后的增益图,将滤波后的增益图应用于N位原始RGB图像,生成增益映射的N位RGB图像,并将增益映射的N位RGB图像降低(N-K),生成K 位RGB图像。

    METHOD, APPARATUS AND SYSTEM FOR PROCESSING A DISPLAY FROM A SURROUND VIEW CAMERA SOLUTION
    24.
    发明申请
    METHOD, APPARATUS AND SYSTEM FOR PROCESSING A DISPLAY FROM A SURROUND VIEW CAMERA SOLUTION 有权
    用于处理来自环视图相机解决方案的显示器的方法,装置和系统

    公开(公告)号:US20150254825A1

    公开(公告)日:2015-09-10

    申请号:US14642510

    申请日:2015-03-09

    CPC classification number: B60R1/00 B60R2300/303 B60R2300/607 G06T3/4038

    Abstract: A method, apparatus and a system multi-camera image processing method. The method includes performing geometric alignment to produce a geometric output, performing photometric alignment to produce a photometric output and blending output, using data from the geometric alignment and the photometric alignment for performing synthesis function for at least one of blending and stitching images from the multi-cameras, and displaying an image from the synthesis function.

    Abstract translation: 一种方法,装置和系统的多摄像机图像处理方法。 该方法包括执行几何对准以产生几何输出,执行光度对准以产生光度输出和混合输出,使用来自几何对准和光度对准的数据,用于执行来自多重图像的混合和拼接图像中的至少一个的合成功能 - 相机,并从合成功能显示图像。

    Multi-pass video noise filtering
    26.
    发明授权
    Multi-pass video noise filtering 有权
    多通道视频噪声滤波

    公开(公告)号:US08811757B2

    公开(公告)日:2014-08-19

    申请号:US13734225

    申请日:2013-01-04

    Inventor: Aziz Umit Batur

    CPC classification number: G06K9/40 H04N19/80 H04N19/86

    Abstract: A method of noise filtering of a digital video sequence is provided that includes computing a motion image for a frame, wherein the motion image includes a motion value for each pixel in the frame, and wherein the motion values are computed as differences between pixel values in a luminance component of the frame and corresponding pixel values in a luminance component of a reference frame, applying a first spatial noise filter to the motion image to obtain a final motion image, computing a blending factor image for the frame, wherein the blending factor image includes a blending factor for each pixel in the frame, and wherein the blending factors are computed based on corresponding motion values in the final motion image, generating a filtered frame, wherein the blending factors are applied to corresponding pixel values in the reference frame and the frame, and outputting the filtered frame.

    Abstract translation: 提供了一种数字视频序列的噪声滤波方法,其包括计算帧的运动图像,其中运动图像包括帧中每个像素的运动值,并且其中运动值被计算为像素值之间的差值 所述帧的亮度分量和参考帧的亮度分量中的相应像素值,对所述运动图像应用第一空间噪声滤波器以获得最终运动图像,计算所述帧的混合因子图像,其中所述混合因子图像 包括对于帧中的每个像素的混合因子,并且其中基于最终运动图像中的对应的运动值计算混合因子,产生滤波的帧,其中将混合因子应用于参考帧中的相应像素值, 帧,并输出滤波帧。

    Merging multiple exposures to generate a high dynamic range image

    公开(公告)号:US12283259B2

    公开(公告)日:2025-04-22

    申请号:US17035250

    申请日:2020-09-28

    Abstract: A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

    MERGING MULTIPLE EXPOSURES TO GENERATE A HIGH DYNAMIC RANGE IMAGE

    公开(公告)号:US20230217116A1

    公开(公告)日:2023-07-06

    申请号:US18122389

    申请日:2023-03-16

    Abstract: A method of generating a high dynamic range (HDR) image is provided that includes capturing a long exposure image and a short exposure image of a scene, computing a merging weight for each pixel location of the long exposure image based on a pixel value of the pixel location and a saturation threshold, and computing a pixel value for each pixel location of the HDR image as a weighted sum of corresponding pixel values in the long exposure image and the short exposure image, wherein a weight applied to a pixel value of the pixel location of the short exposure image and a weight applied to a pixel value of the pixel location in the pixel long exposure image are determined based on the merging weight computed for the pixel location and responsive to motion in a scene of the long exposure image and the short exposure image.

    Three-dimensional dense structure from motion with stereo vision

    公开(公告)号:US10469828B2

    公开(公告)日:2019-11-05

    申请号:US15202841

    申请日:2016-07-06

    Abstract: Disclosed examples include three-dimensional imaging systems and methods to reconstruct a three-dimensional scene from first and second image data sets obtained from a single camera at first and second times, including computing feature point correspondences between the image data sets, computing an essential matrix that characterizes relative positions of the camera at the first and second times, computing pairs of first and second projective transforms that individually correspond to regions of interest that exclude an epipole of the captured scene, as well as computing first and second rectified image data sets in which the feature point correspondences are aligned on a spatial axis by respectively applying the corresponding first and second projective transforms to corresponding portions of the first and second image data sets, and computing disparity values of a stereo disparity map according to the rectified image data sets to construct.

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