IMAGE PROCESSING METHOD AND APPARATUS
    3.
    发明申请
    IMAGE PROCESSING METHOD AND APPARATUS 有权
    图像处理方法和装置

    公开(公告)号:US20140355892A1

    公开(公告)日:2014-12-04

    申请号:US14273094

    申请日:2014-05-08

    Abstract: An image processing method includes searching for areas matching each other between a plurality of input images, the plurality of input images comprising a reference image and a target image, generating hierarchical image structures formed of a plurality of hierarchical images having different resolutions with respect to the matching areas between the plurality of input images, repeatedly performing image processing based on a similarity of values of pixels matching each other in the plurality of hierarchical images of the same level by using the hierarchical image structures generated with respect to the matching areas, and generating an output image by using pixel values according to the repeated image processing.

    Abstract translation: 一种图像处理方法,包括搜索多个输入图像之间彼此匹配的区域,所述多个输入图像包括参考图像和目标图像,生成由相对于所述图像的不同分辨率的多个分层图像形成的分层图像结构 在多个输入图像之间匹配区域,通过使用相对于匹配区域生成的分层图像结构,基于相同水平的多个分层图像中彼此匹配的像素的值的相似度来重复执行图像处理,并且生成 通过使用根据重复图像处理的像素值的输出图像。

    Method and apparatus for image processing

    公开(公告)号:US10269099B2

    公开(公告)日:2019-04-23

    申请号:US15519786

    申请日:2015-10-13

    Abstract: An image-processing method of removing noise from an image includes: obtaining standard representative values for standard regions of a standard image and reference representative values for reference regions of a reference image, and obtaining a plurality of hierarchical images having different resolutions with respect to the standard image and the reference image based on the standard representative values and the reference representative values; obtaining the standard representative values for the standard regions of the standard image and the reference representative values for the reference regions of the reference image from the hierarchical images; determining a similarity between the standard regions and the reference regions from the standard representative values and the reference representative values; and removing noise by applying filtering to the standard image and the reference image depending on the determined similarity.

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