IMAGE PROCESSING DEVICE FOR REDUCING IMAGE NOISE AND THE METHOD THEREOF
    1.
    发明申请
    IMAGE PROCESSING DEVICE FOR REDUCING IMAGE NOISE AND THE METHOD THEREOF 有权
    用于减少图像噪声的图像处理装置及其方法

    公开(公告)号:US20140321768A1

    公开(公告)日:2014-10-30

    申请号:US13936224

    申请日:2013-07-08

    CPC classification number: G06T5/002 G06T5/20 G06T2207/20221

    Abstract: An image processing device for reducing image noise and the method thereof are provided. The method for reducing image noise includes the following steps. A filtering operation is performed on a plurality of pixel values of a first image according to a high-pass (HP) filtering mask, a first default filtering mask and a second default filtering mask to obtain a high-pass filtering image, a first low-pass (LP) image and a second LP image, respectively. A difference between the first and the second LP images is calculated to obtain a LP difference image. A pixel weighting calculation is performed according to the HP image and the LP difference image to obtain a pixel weighting mask corresponding to the first image. The first image is calculated according to the pixel weighting mask and one of the first and the second LP images to obtain a noise reducing image.

    Abstract translation: 提供了一种降低图像噪声的图像处理装置及其方法。 降低图像噪声的方法包括以下步骤。 根据高通(HP)滤波掩模,第一默认滤波掩码和第二默认滤波掩码,对第一图像的多个像素值执行滤波操作,以获得高通滤波图像,第一低 (LP)图像和第二LP图像。 计算第一和第二LP图像之间的差以获得LP差分图像。 根据HP图像和LP差分图像执行像素加权计算,以获得与第一图像相对应的像素加权掩码。 根据像素加权掩码和第一和第二LP图像之一计算第一图像以获得降噪图像。

    Unmanned aerial vehicle, control systems for unmanned aerial vehicle and control method thereof

    公开(公告)号:US10703479B2

    公开(公告)日:2020-07-07

    申请号:US15921625

    申请日:2018-03-14

    Abstract: A UAV (Unmanned Aerial Vehicle) control method comprises: obtaining a first image; obtaining a second image after obtaining the first image; calculating a plurality of feature points respectively according to the first image and the second image by a computing device, extracting a first feature point set and a second feature point set by the computing device; calculating a first-axial displacement and a second-axial displacement according to the first feature point set and the second feature point set by the computing device; calculating a first ROI (Region Of Interest) area, a second ROI and a third-axial displacement according to the first feature point set and the second feature point set by the computing device; adjusting a camera pose or a flight path of the UAV according to the first-axial displacement, the second-axial displacement and the third-axial displacement.

    Method and apparatus for image processing and computer readable medium
    3.
    发明授权
    Method and apparatus for image processing and computer readable medium 有权
    图像处理方法和装置及计算机可读介质

    公开(公告)号:US09268791B2

    公开(公告)日:2016-02-23

    申请号:US14223449

    申请日:2014-03-24

    Abstract: According to one exemplary embodiment, a method for image processing selects at least one image from a plurality of images, and stores the plurality of images into a buffer, until a storage space of the buffer reaches a criterion. When the storage space of the buffer reaches the criterion, a procedure of image processing is performed for a plurality of temporary images stored in the buffer, which includes constructing an image dictionary according to the at least an image selected, and performing an image recovery and reconstruction procedure for the plurality of temporary images in the buffer according to the image dictionary, thereby obtaining a plurality of reconstructed images.

    Abstract translation: 根据一个示例性实施例,一种用于图像处理的方法从多个图像中选择至少一个图像,并将多个图像存储到缓冲器中,直到缓冲器的存储空间达到标准。 当缓冲器的存储空间达到标准时,对存储在缓冲器中的多个临时图像执行图像处理的过程,其包括根据所选择的至少一个图像构建图像词典,并执行图像恢复,并且 根据图像字典对缓冲器中的多个临时图像进行重建过程,从而获得多个重建图像。

    Video indexing method and device using the same

    公开(公告)号:US10283166B2

    公开(公告)日:2019-05-07

    申请号:US15470325

    申请日:2017-03-27

    Abstract: A video indexing method includes: analyzing trajectory information of a plurality of objects in video data and storing a plurality of pieces of object trajectory data obtained correspondingly in a storage device; determining whether the storage device satisfies a data removal condition; when the data removal condition is satisfied, performing an object trajectory analysis on the plurality of pieces of object trajectory data to select at least one target object from the objects; and extracting the object trajectory data of the at least one target object from the storage device and generating at least one video indexing image accordingly.

    Method and system for generating a video frame

    公开(公告)号:US10200574B2

    公开(公告)日:2019-02-05

    申请号:US15377634

    申请日:2016-12-13

    Abstract: The present disclosure provides a method for generating a video frame and a system thereof, including: receiving at least two frames of a video captured by an image capture unit through a network; calculating a first set of optical flow vectors of the at least two frames by a first algorithm; generating a set of modified vectors according to at least one parameter; combining the set of modified vectors and the first set of optical flow vectors to obtain a second set of optical flow vectors; and shifting one of the at least two frames according to the second set of optical flow vectors to generate a virtual image. Therefore, the present disclosure can reduce deviation caused by the latency of the network and improve user experience.

    Image processing device for reducing image noise and the method thereof
    7.
    发明授权
    Image processing device for reducing image noise and the method thereof 有权
    用于降低图像噪声的图像处理装置及其方法

    公开(公告)号:US09082171B2

    公开(公告)日:2015-07-14

    申请号:US13936224

    申请日:2013-07-08

    CPC classification number: G06T5/002 G06T5/20 G06T2207/20221

    Abstract: An image processing device for reducing image noise and the method thereof are provided. The method for reducing image noise includes the following steps. A filtering operation is performed on a plurality of pixel values of a first image according to a high-pass (HP) filtering mask, a first default filtering mask and a second default filtering mask to obtain a high-pass filtering image, a first low-pass (LP) image and a second LP image, respectively. A difference between the first and the second LP images is calculated to obtain a LP difference image. A pixel weighting calculation is performed according to the HP image and the LP difference image to obtain a pixel weighting mask corresponding to the first image. The first image is calculated according to the pixel weighting mask and one of the first and the second LP images to obtain a noise reducing image.

    Abstract translation: 提供了一种降低图像噪声的图像处理装置及其方法。 降低图像噪声的方法包括以下步骤。 根据高通(HP)滤波掩模,第一默认滤波掩码和第二默认滤波掩码,对第一图像的多个像素值执行滤波操作,以获得高通滤波图像,第一低 (LP)图像和第二LP图像。 计算第一和第二LP图像之间的差以获得LP差分图像。 根据HP图像和LP差分图像执行像素加权计算,以获得与第一图像相对应的像素加权掩码。 根据像素加权掩码和第一和第二LP图像之一计算第一图像以获得降噪图像。

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