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    • 1. 发明授权
    • Fast motion estimation method
    • 快速运动估计法
    • US09160897B2
    • 2015-10-13
    • US12137113
    • 2008-06-11
    • Felix AlbuCorneliu FloreaAdrian ZamfirAlexandru DrimbareanPeter Corcoran
    • Felix AlbuCorneliu FloreaAdrian ZamfirAlexandru DrimbareanPeter Corcoran
    • H04N5/228H04N5/14H04N5/232H04N19/527
    • H04N5/144H04N5/23248H04N5/23261H04N19/527
    • An estimated total camera motion between temporally proximate image frames is computed. A desired component of the estimated total camera motion is determined including distinguishing an undesired component of the estimated total camera motion, and including characterizing vector values of motion between the image frames. A counter is incremented for each pixel group having a summed luminance that is greater than a threshold. A counter may be decremented for pixels that are under a second threshold, or a zero bit may be applied to pixels below a single threshold. The threshold or thresholds is/are determined based on a dynamic luminance range of the sequence. The desired camera motion is computed including representing the vector values based on final values of counts for the image frames. A corrected image sequence is generated including the desired component of the estimated total camera motion, and excluding the undesired component.
    • 计算时间上接近的图像帧之间的估计的总相机运动。 确定所估计的总相机运动的期望分量,包括区分估计的全部相机运动的不期望分量,并且包括图像帧之间的运动的特征向量值。 对于具有大于阈值的总和亮度的每个像素组,计数器递增。 对于处于第二阈值以下的像素,计数器可以递减,或者可将零位施加到单个阈值以下的像素。 基于序列的动态亮度范围来确定阈值或阈值。 计算所需的相机运动,包括基于图像帧的计数的最终值来表示矢量值。 产生校正的图像序列,其包括所估计的全部相机运动的期望分量,并且排除不期望的分量。
    • 8. 发明授权
    • Detection and removal of blemishes in digital images utilizing original images of defocused scenes
    • 使用散焦场景的原始图像检测和去除数字图像中的瑕疵
    • US08009208B2
    • 2011-08-30
    • US12708654
    • 2010-02-19
    • Eran SteinbergPetronel BigioiAdrian Zamfir
    • Eran SteinbergPetronel BigioiAdrian Zamfir
    • H04N5/217
    • H04N1/4097G06K9/346G06K2209/01G06T5/005H04N5/2171H04N5/3572H04N5/367
    • A method automatically corrects dust artifact within image acquired by a system including a digital acquisition device including a lens assembly and a translucent lens cap. Multiple original digital images are acquired with the digital acquisition device. Probabilities that certain pixels correspond to dust artifact regions within the images are determined based at least in part on a comparison of suspected dust artifact regions within two or more of the images. Probable dust artifact regions are associated with extracted parameter values relating to the lens assembly when the images were acquired, A statistical dust map is formed including mapped dust regions based on the determining and associating. Pixels corresponding to correlated dust artifact regions are corrected within further digitally-acquired images based on the associated statistical dust map.
    • 一种方法自动地校正由包括透镜组件和半透明透镜盖的数字采集装置的系统获取的图像内的灰尘伪影。 使用数字采集设备采集多个原始数字图像。 至少部分地基于两个或多个图像内的可疑灰尘伪影区域的比较来确定某些像素对应于图像内的灰尘伪影区域的概率。 当获取图像时,可能的灰尘伪影区域与提取的与透镜组件相关的参数值相关联。基于确定和关联,形成包括映射灰尘区域的统计灰度图。 基于相关联的统计灰度图,在相关的灰尘伪影区域内的像素在进一步数字获取的图像内被校正。