-
公开(公告)号：US10755173B2
公开(公告)日：2020-08-25
申请号：US16703368
申请日：2019-12-04
申请人： ADOBE INC.
发明人： Oliver Wang , Jue Wang , Shuochen Su
摘要： Methods and systems are provided for deblurring images. A neural network is trained where the training includes selecting a central training image from a sequence of blurred images. An earlier training image and a later training image are selected based on the earlier training image preceding the central training image in the sequence and the later training image following the central training image in the sequence and based on proximity of the images to the central training image in the sequence. A training output image is generated by the neural network from the central training image, the earlier training image, and the later training image. Similarity is evaluated between the training output image and a reference image. The neural network is modified based on the evaluated similarity. The trained neural network is used to generate a deblurred output image from a blurry input image.
-
公开(公告)号：US10289951B2
公开(公告)日：2019-05-14
申请号：US15341875
申请日：2016-11-02
申请人： ADOBE INC.
发明人： Oliver Wang , Jue Wang , Shuochen Su
摘要： Methods and systems are provided for deblurring images. A neural network is trained where the training includes selecting a central training image from a sequence of blurred images. An earlier training image and a later training image are selected based on the earlier training image preceding the central training image in the sequence and the later training image following the central training image in the sequence and based on proximity of the images to the central training image in the sequence. A training output image is generated by the neural network from the central training image, the earlier training image, and the later training image. Similarity is evaluated between the training output image and a reference image. The neural network is modified based on the evaluated similarity. The trained neural network is used to generate a deblurred output image from a blurry input image.
-
公开(公告)号：US10534998B2
公开(公告)日：2020-01-14
申请号：US16380108
申请日：2019-04-10
申请人： ADOBE INC.
发明人： Oliver Wang , Jue Wang , Shuochen Su
摘要： Methods and systems are provided for deblurring images. A neural network is trained where the training includes selecting a central training image from a sequence of blurred images. An earlier training image and a later training image are selected based on the earlier training image preceding the central training image in the sequence and the later training image following the central training image in the sequence and based on proximity of the images to the central training image in the sequence. A training output image is generated by the neural network from the central training image, the earlier training image, and the later training image. Similarity is evaluated between the training output image and a reference image. The neural network is modified based on the evaluated similarity. The trained neural network is used to generate a deblurred output image from a blurry input image.
-
公开(公告)号：US10430649B2
公开(公告)日：2019-10-01
申请号：US15650669
申请日：2017-07-14
申请人： Adobe Inc.
发明人： I-Ming Pao , Jue Wang , Ke Ma , Zhe Lin
摘要： Text region detection techniques and systems for digital images using image tag filtering are described. These techniques and systems support numerous advantages over conventional techniques through use of image tags to filter text region candidates. A computing device, for instance, may first generate text region candidates through use of a variety of different techniques, such as text line detection. The computing device then assigns image tags to the text region candidates. The assigned image tags are then used by the computing device to filter the text region candidates based on whether image tags assigned to respective candidates are indicative of text.
-
-
-
搜索结果
4 条记录 (耗时 0.014 秒)
