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    • 81. 发明授权
    • Variable kernel size image matting
    • 可变内核大小的图像消光
    • US08625888B2
    • 2014-01-07
    • US12841133
    • 2010-07-21
    • Jian SunKaiming He
    • Jian SunKaiming He
    • G06K9/34G06K9/66
    • G06T7/11G06T7/194G06T2207/10024
    • Image matting is performed on an image having a specified foreground region, a background region and an unknown region by selecting a kernel size based on a size of the unknown region. The matting processing is performed using the selected kernel size to provide an alpha matte that distinguishes a foreground portion from a background portion in the unknown region. Further, in some implementations, a trimap of the image may be segmented and matting processing may be performed on each segment using a kernel size appropriate for that segment.
    • 通过基于未知区域的大小选择核大小,对具有指定的前景区域,背景区域和未知区域的图像执行图像遮蔽。 使用所选择的核大小执行消光处理,以提供将前景部分与未知区域中的背景部分区分开的阿尔法无光泽。 此外,在一些实施方式中,图像的微调可以被分割,并且可以使用适合该段的内核大小对每个段执行消隐处理。
    • 82. 发明授权
    • Dual-phase red eye correction
    • 双相红眼矫正
    • US08571271B2
    • 2013-10-29
    • US13116254
    • 2011-05-26
    • Lu YuanFang WenJian Sun
    • Lu YuanFang WenJian Sun
    • G06K9/00
    • H04N1/624G06T7/11G06T7/136G06T2207/10024G06T2207/30216
    • A dual-phase approach to red eye correction may prevent overly aggressive or overly conservative red eye reduction. The dual-phase approach may include detecting an eye portion in a digital image. Once the eye portion is detected, the dual-phase approach may include the performance of a strong red eye correction for the eye portion when the eye portion includes a strong red eye. Otherwise, the dual-phase approach may include the performance of a weak red eye correction for the eye portion when the eye portion includes a weak red eye. The weak red eye may be distinguished from the strong red eye based a redness threshold that shows the weak red eye as having less redness hue than the strong red eye.
    • 红眼矫正的双相方法可以防止过度侵略或过度保守的红眼减轻。 双相方法可以包括检测数字图像中的眼部分。 一旦检测到眼睛部分,当眼部包括强红眼时,双相方法可以包括对眼部进行强红眼矫正。 否则,双眼方法可以包括当眼睛部分包括弱红眼时对眼部进行弱红眼修正。 弱红眼可以与强红眼区分开,发红度阈值显示弱红眼具有比强红眼少的发红色调。
    • 83. 发明授权
    • Automatic exposure correction of images
    • 自动曝光校正图像
    • US08554011B2
    • 2013-10-08
    • US13155202
    • 2011-06-07
    • Lu YuanJian Sun
    • Lu YuanJian Sun
    • G06K9/40
    • G06T5/008
    • Techniques for automatic exposure correction of images are provided. In particular, the exposure of an input image may be improved by automatically modifying a non-linear function that characterizes the luminance of shadow, mid-tone, and highlight portions of the image. The input image may be segmented into a number of regions and each region is assigned a zone, where the zone indicates a specified range of luminance values. An initial zone assigned to a region of the image may be changed in order to reflect an optimal zone of the region. Based, in part, on the optimal zones for each region of the image, luminance modification parameters may be calculated and applied to the non-linear function in order to produce a modified version of the input image that improves the appearance of overexposed and/or underexposed regions of the input image.
    • 提供了图像自动曝光校正技术。 特别地,可以通过自动修改表征图像的阴影,中间色调和高光部分的亮度的非线性函数来改善输入图像的曝光。 输入图像可以被分割成多个区域,并且每个区域被分配一个区域,其中该区域指示指定的亮度值范围。 可以改变分配给图像的区域的初始区域,以便反映该区域的最佳区域。 基于部分地基于图像的每个区域的最佳区域,可以计算亮度修改参数并将其应用于非线性函数,以便产生输入图像的修改版本,其改善曝光过度和/或 输入图像的曝光不足区域。
    • 85. 发明授权
    • Image selection techniques
    • 图像选择技术
    • US08452087B2
    • 2013-05-28
    • US12571317
    • 2009-09-30
    • Jian SunJiangyu Liu
    • Jian SunJiangyu Liu
    • G06K9/34
    • G06T11/60G06T7/11G06T7/194G06T11/001
    • Tools disclosed herein comprise progressive, paint stroke based region recognition and selection tools. Using these tools, a user may partially paint a region of interest directly on an image (by using a paint brush or other similar tool). Unlike conventional selection tools, a user is not required to paint the entire region pixel-by-pixel. Rather the desired region is automatically and intelligently recognized based on the partial selection. This is accomplished via a progressive selection algorithm. In addition, these tools provide the ability to quickly execute such region selections on multi-megapixel images.
    • 本文公开的工具包括渐进的,基于油漆冲程的区域识别和选择工具。 使用这些工具,用户可以直接在图像上绘制感兴趣的区域(通过使用油漆刷或其他类似的工具)。 与传统的选择工具不同,用户不需要逐个像素地绘制整个区域。 相反,基于部分选择自动和智能地识别期望的区域。 这是通过逐行选择算法实现的。 此外,这些工具还提供了快速执行在百万像素图像上进行这种区域选择的功能。
    • 86. 发明授权
    • Removing blur from an image
    • 从图像中删除模糊
    • US08406564B2
    • 2013-03-26
    • US12237126
    • 2008-09-24
    • Jian SunHeung-Yeung ShumLu YuanLong Quan
    • Jian SunHeung-Yeung ShumLu YuanLong Quan
    • G06K9/64G06K9/40G06K9/36
    • G06T5/003G06T2207/20016G06T2207/20028
    • Embodiments related to the removal of blur from an image are disclosed. One disclosed embodiment provides a method of performing an iterative non-blind deconvolution of a blurred image to form an updated image. The method comprises downsampling the blurred image to form a blurred image pyramid comprising images of two or more different resolution scales, downsampling a blur kernel to form a blur kernel pyramid comprising kernels of two or more different sizes, and deconvoluting a selected image in the blurred image pyramid according to a Richardson-Lucy deconvolution process in which a bilateral range/spatial filter is employed.
    • 公开了从图像中去除模糊的实施例。 一个公开的实施例提供了一种执行模糊图像的迭代非盲去卷积以形成更新图像的方法。 该方法包括对模糊图像进行下采样以形成包含两个或多个不同分辨率尺度的图像的模糊图像金字塔,对模糊核心进行下采样以形成包含两个或更多个不同大小的粒子的模糊核心金字塔,并且对模糊的所选图像进行解卷积 图像金字塔根据理查森 - 露西反卷积过程,其中采用双边范围/空间滤波器。