公开(公告)号：US10893300B2

公开(公告)日：2021-01-12

申请号：US15824581

申请日：2017-11-28

Applicant: SZ DJI TECHNOLOGY CO., LTD.

Inventor： Xing Chen ,  Zisheng Cao ,  Lei Zhu

IPC: H04N19/91 ,  H04N19/503 ,  H04N19/105 ,  H04N19/13

Abstract: A system for processing a video obtains a prediction table for a reference frame of the video and codes one or more target frames of the video based on the prediction table. The prediction table is a Huffman table of difference values for reference pixels of the reference frame. The difference value for a reference pixel is determined based on an actual value of the reference pixel and a prediction value determined based on respective pixel values of one or more pixels adjacent to the reference pixel. The one or more target frames are coded based on the Huffman table of the reference frame and prediction values of the one or more target frames.

公开(公告)号：US10026154B2

公开(公告)日：2018-07-17

申请号：US15619121

申请日：2017-06-09

Applicant: SZ DJI TECHNOLOGY CO., LTD.

Inventor： Zisheng Cao ,  Junping Ma ,  Xing Chen ,  Mingyu Wang

IPC: G06K9/00 ,  G06T5/00 ,  G06T5/20

Abstract: System and method can support an image processing device. The image processing device operates to obtain a first set of characterization values, which represents a first group of pixels that are associated with a denoising pixel in an image. Also, the image processing device can obtain a second set of characterization values, which represents a second group of pixels that are associated with a denoising reference pixel. Furthermore, the image processing device operates to use the first set of characterization values and the second set of characterization values to determine a similarity between the denoising pixel and the denoising reference pixel. Then, the image processing device can calculate a denoised value for the denoising pixel based on the determined similarity between the denoising pixel and the denoising reference pixel.

公开(公告)号：US09773297B2

公开(公告)日：2017-09-26

申请号：US15349773

申请日：2016-11-11

Applicant: SZ DJI TECHNOLOGY CO., LTD.

Inventor： Zisheng Cao ,  Junping Ma ,  Xing Chen ,  Mingyu Wang

IPC: G06K9/00 ,  G06T5/00 ,  G06T5/20

CPC classification number: G06T5/002 ,  G06T5/20 ,  G06T2200/28 ,  G06T2207/10024 ,  G06T2207/20012

Abstract: System and method can support an image processing device. The image processing device operates to obtain a first set of characterization values, which represents a first group of pixels that are associated with a denoising pixel in an image. Also, the image processing device can obtain a second set of characterization values, which represents a second group of pixels that are associated with a denoising reference pixel. Furthermore, the image processing device operates to use the first set of characterization values and the second set of characterization values to determine a similarity between the denoising pixel and the denoising reference pixel. Then, the image processing device can calculate a denoised value for the denoising pixel based on the determined similarity between the denoising pixel and the denoising reference pixel.

公开(公告)号：US10515438B2

公开(公告)日：2019-12-24

申请号：US16015436

申请日：2018-06-22

Applicant: SZ DJI TECHNOLOGY CO., LTD.

Inventor： Zisheng Cao ,  Junping Ma ,  Xing Chen ,  Mingyu Wang

IPC: G06T5/00 ,  G06T5/20

Abstract: System and method can support an image processing device. The image processing device operates to obtain a first set of characterization values, which represents a first group of pixels that are associated with a denoising pixel in an image. Also, the image processing device can obtain a second set of characterization values, which represents a second group of pixels that are associated with a denoising reference pixel. Furthermore, the image processing device operates to use the first set of characterization values and the second set of characterization values to determine a similarity between the denoising pixel and the denoising reference pixel. Then, the image processing device can calculate a denoised value for the denoising pixel based on the determined similarity between the denoising pixel and the denoising reference pixel.