公开(公告)号：US11263782B2

公开(公告)日：2022-03-01

申请号：US16814783

申请日：2020-03-10

Applicant: QUALCOMM Incorporated

Inventor： Hau Hwang ,  Tushar Sinha Pankaj ,  Vishal Gupta ,  Jisoo Lee

IPC: G06T7/90 ,  G06T3/00 ,  G06N3/04 ,  G06N20/00 ,  G06T3/40

Abstract: Techniques are provided for using one or more machine learning systems to process input data including image data. The input data including the image data can be obtained, and at least one machine learning system can be applied to at least a portion of the image data to determine at least one color component value for one or more pixels of at least the portion of the image data. Based on application of the at least one machine learning system to at least the portion of the image data, output image data for a frame of output image data can be generated. The output image data includes at least one color component value for one or more pixels of the frame of output image data. Application of the at least one machine learning system causes the output image data to have a reduced dimensionality relative to the input data.

公开(公告)号：US12118754B2

公开(公告)日：2024-10-15

申请号：US18494099

申请日：2023-10-25

Applicant: QUALCOMM Incorporated

Inventor： Hau Hwang ,  Tushar Sinha Pankaj ,  Vishal Gupta ,  Jisoo Lee

IPC: G06T7/90 ,  G06N3/04 ,  G06N20/00 ,  G06T3/06 ,  G06T3/4015

CPC classification number: G06T7/90 ,  G06N3/04 ,  G06N20/00 ,  G06T3/06 ,  G06T3/4015 ,  G06T2207/20084

Abstract: Techniques are provided for using one or more machine learning systems to process input data including image data. The input data including the image data can be obtained, and at least one machine learning system can be applied to at least a portion of the image data to determine at least one color component value for one or more pixels of at least the portion of the image data. Based on application of the at least one machine learning system to at least the portion of the image data, output image data for a frame of output image data can be generated. The output image data includes at least one color component value for one or more pixels of the frame of output image data. Application of the at least one machine learning system causes the output image data to have a reduced dimensionality relative to the input data.

公开(公告)号：US11836951B2

公开(公告)日：2023-12-05

申请号：US17665281

申请日：2022-02-04

Applicant: QUALCOMM Incorporated

Inventor： Hau Hwang ,  Tushar Sinha Pankaj ,  Vishal Gupta ,  Jisoo Lee

IPC: G06T7/90 ,  G06T3/00 ,  G06N3/04 ,  G06N20/00 ,  G06T3/40

CPC classification number: G06T7/90 ,  G06N3/04 ,  G06N20/00 ,  G06T3/0031 ,  G06T3/4015 ,  G06T2207/20084

Abstract: Techniques are provided for using one or more machine learning systems to process input data including image data. The input data including the image data can be obtained, and at least one machine learning system can be applied to at least a portion of the image data to determine at least one color component value for one or more pixels of at least the portion of the image data. Based on application of the at least one machine learning system to at least the portion of the image data, output image data for a frame of output image data can be generated. The output image data includes at least one color component value for one or more pixels of the frame of output image data. Application of the at least one machine learning system causes the output image data to have a reduced dimensionality relative to the input data.