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

IPC分类号： G06K9/00 ,  G06N3/08 ,  G06T11/60 ,  G06T5/00 ,  G06T5/50 ,  G06K9/62 ,  G06N3/04

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

IPC分类号： G06N3/08 ,  G06T11/60 ,  G06T5/00 ,  G06T5/50 ,  G06N3/04 ,  G06K9/62

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：US10204656B1

公开(公告)日：2019-02-12

申请号：US15661546

申请日：2017-07-27

申请人： ADOBE INC.

发明人： Geoffrey Oxholm ,  Elya Shechtman ,  Oliver Wang

IPC分类号： G06K9/00 ,  G06K9/46 ,  H04N7/01 ,  G11B27/00

摘要： Provided are video processing architectures and techniques configured to generate looping video. The video processing architectures and techniques automatically produce a looping video from a fixed-length video clip. Embodiments of the video processing architectures and techniques determine a lower-resolution version of the fixed-length video clip, and detect a presence of edges within image frames in the lower-resolution version. A pair of image frames having similar edges is identified as a pair of candidates for a transition point (i.e., a start frame and an end frame) at which the looping video can repeat. Using start and end frames having similar edges mitigates teleporting of objects displayed in the looping video. In some cases, teleporting during repeating is eliminated.