Removing noise from an image via efficient patch distance computations
    11.
    发明授权
    Removing noise from an image via efficient patch distance computations 有权
    通过有效的贴片距离计算,从图像中消除噪音

    公开(公告)号:US09251569B2

    公开(公告)日:2016-02-02

    申请号:US14022462

    申请日:2013-09-10

    Abstract: Systems and methods herein provide for reduced computations in image processing and a more efficient way of computing distances between patches in patch-based image denoising. One method is operable within a processing system to remove noise from a digital image by generating a plurality of lookup tables of pixel values based on a plurality of comparisons of the digital image to offsets of the digital image, generating integral images from the lookup tables, and computing distances between patches of pixels in the digital image from the integral images. The method also includes computing weights for the patches of pixels in the digital image based on the computed distances and applying the weights to pixels in the digital image on a patch-by-patch basis to restore values of the pixels.

    Abstract translation: 这里的系统和方法提供图像处理中的减少的计算以及在基于补丁的图像去噪中计算补片之间的距离的更有效的方式。 一种方法在处理系统内可操作以通过基于数字图像与数字图像的偏移的多个比较生成多个像素值的查找表来从数字图像中去除噪声,从查找表生成整体图像, 以及从整体图像计算数字图像中的像素块之间的距离。 该方法还包括基于所计算的距离计算数字图像中的像素块的权重,并且在逐个补丁的基础上将权重应用于数字图像中的像素以恢复像素的值。

    Digital Content Search and Environmental Context

    公开(公告)号:US20180039479A1

    公开(公告)日:2018-02-08

    申请号:US15228680

    申请日:2016-08-04

    Abstract: Digital content search and environmental context techniques and systems are described. The environmental context is leveraged to provide additional information and insight into a likely goal of a textual search query input by a user. In one example, environmental conditions are leveraged to provide a search query context. In another example, environmental conditions are detected to determine a type of object that is disposed in the physical environment of a user. From this, the computing device identifies and launches an application that corresponds to the detected type of object from an image captured of the physical environment. In a further example, the environmental context is used to refine a search in response to user selection of physical objects in a physical environment of the user.

    Removing noise from an image via efficient patch distance computations
    15.
    发明授权
    Removing noise from an image via efficient patch distance computations 有权
    通过有效的贴片距离计算,从图像中消除噪音

    公开(公告)号:US09569822B2

    公开(公告)日:2017-02-14

    申请号:US14990656

    申请日:2016-01-07

    Abstract: In embodiments of removing noise from an image via efficient patch distance computations, weights are computed for patches of pixels in a digital image, and the computed weights are multiplied by respective offset values of offset images that are pixelwise shifted images of the entire digital image. The weights can be applied to the pixels in the digital image on a patch-by-patch basis to restore values of the pixels. Additionally, the digital image can be pixelwise shifted to generate the offset images of the digital image, and the digital image is compared to the offset images. Lookup tables of pixel values can be generated based on the comparisons of the digital image to the offset images, and integral images generated from the lookup tables. Distances to the patches of pixels in the digital image are computed from the integral images, and the computed weights are based on the computed distances.

    Abstract translation: 在通过有效的贴片距离计算从图像去除噪声的实施例中,为数字图像中的像素块计算权重,并且将所计算的权重乘以作为整个数字图像的像素移位图像的偏移图像的各个偏移值。 可以在逐个补丁的基础上将权重应用于数字图像中的像素,以恢复像素的值。 此外,数字图像可以被像素移位以产生数字图像的偏移图像,并且将数字图像与偏移图像进行比较。 可以基于数字图像与偏移图像的比较以及从查找表生成的积分图像来生成像素值的查找表。 从积分图像计算数字图像中的像素块的距离,并且计算的权重基于计算的距离。

    Removing Noise from an Image Via Efficient Patch Distance Computations
    16.
    发明申请
    Removing Noise from an Image Via Efficient Patch Distance Computations 审中-公开
    通过有效的补片距离计算从图像中去除噪声

    公开(公告)号:US20160117805A1

    公开(公告)日:2016-04-28

    申请号:US14990656

    申请日:2016-01-07

    Abstract: In embodiments of removing noise from an image via efficient patch distance computations, weights are computed for patches of pixels in a digital image, and the computed weights are multiplied by respective offset values of offset images that are pixelwise shifted images of the entire digital image. The weights can be applied to the pixels in the digital image on a patch-by-patch basis to restore values of the pixels. Additionally, the digital image can be pixelwise shifted to generate the offset images of the digital image, and the digital image is compared to the offset images. Lookup tables of pixel values can be generated based on the comparisons of the digital image to the offset images, and integral images generated from the lookup tables. Distances to the patches of pixels in the digital image are computed from the integral images, and the computed weights are based on the computed distances.

    Abstract translation: 在通过有效的贴片距离计算从图像去除噪声的实施例中,为数字图像中的像素块计算权重,并且将所计算的权重乘以作为整个数字图像的像素移位图像的偏移图像的各个偏移值。 可以在逐个补丁的基础上将权重应用于数字图像中的像素,以恢复像素的值。 此外,数字图像可以被像素移位以产生数字图像的偏移图像,并且将数字图像与偏移图像进行比较。 可以基于数字图像与偏移图像的比较以及从查找表生成的积分图像来生成像素值的查找表。 从积分图像计算数字图像中的像素块的距离,并且计算的权重基于计算的距离。

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