公开(公告)号：US20220130015A1

公开(公告)日：2022-04-28

申请号：US17083146

申请日：2020-10-28

Applicant: QUALCOMM Incorporated

Inventor： Stone YUN ,  Alireza SHOA HASSANI LASHDAN ,  Darren GNANAPRAGASAM ,  David HANSEN

IPC: G06T5/00 ,  G06T5/50

Abstract: A device includes a memory configured to store an adapted network that is configured to generate a modified image based on a single image. The device includes a processor configured to obtain, from a stream of video data, a first distorted image depicting an object, and to provide the first distorted image to the adapted network to generate a first modified image. The processor is configured to obtain, from the stream of video data, a second distorted image depicting the object, and to provide the second distorted image to the adapted network to generate a second modified image. The object is distorted differently in the second distorted image than in the first distorted image. The processor is configured to generate a video output including the first modified image and the second modified image without visible artifacts due to distortion differences between the first distorted image and the second distorted image.

公开(公告)号：US20250086756A1

公开(公告)日：2025-03-13

申请号：US18955769

申请日：2024-11-21

Applicant: QUALCOMM Incorporated

Inventor： Hooshmand SHOKRI RAZAGHI ,  Alireza SHOA HASSANI LASHDAN ,  Darren GNANAPRAGASAM ,  Stone YUN

IPC: G06T5/50 ,  G06N3/088 ,  G06T3/4046 ,  G06T3/4053 ,  G06T7/00 ,  H04N19/154 ,  H04N19/86 ,  H04N19/87

Abstract: A device includes a memory and one or more processors. The memory is configured to store configuration selection data associated with an image enhancer. The one or more processors are configured to decompress an encoded pre-processed image to generate a decompressed image. The pre-processed image is a downsampled version of a pre-compression image. The one or more processors are configured to predict, based on the decompressed image, an image compression quality of the decompressed image. The one or more processors are configured to process, using an image enhancement network of the image enhancer, the decompressed image to generate an output image. The image enhancer is configured based on the predicted image compression quality and the configuration selection data.

公开(公告)号：US20230028736A1

公开(公告)日：2023-01-26

申请号：US17382675

申请日：2021-07-22

Applicant: QUALCOMM Incorporated

Inventor： Hooshmand SHOKRI RAZAGHI ,  Alireza SHOA HASSANI LASHDAN ,  Darren GNANAPRAGASAM ,  Stone YUN

IPC: G06T5/50 ,  G06T7/00 ,  G06T3/40 ,  H04N19/154 ,  H04N19/86 ,  H04N19/87 ,  G06N3/08

Abstract: A device includes a memory and one or more processors. The memory is configured to store an image enhancement network of an image enhancer. The one or more processors are configured to predict an image compression quality of an image of a stream of images. The one or more processors are also configured to configure the image enhancer based on the image compression quality. The one or more processors are further configured to process, using the image enhancement network of the configured image enhancer, the image to generate an enhanced image.

公开(公告)号：US20250166131A1

公开(公告)日：2025-05-22

申请号：US18517847

申请日：2023-11-22

Applicant: QUALCOMM Incorporated

Inventor： Stone YUN ,  Alireza SHOA HASSANI LASHDAN ,  Sivakumar CHIDAMBARAM ,  Darren GNANAPRAGASAM

IPC: G06T5/50 ,  G06T3/00 ,  G06T3/40 ,  G06T7/20 ,  G06V10/54

Abstract: Techniques and systems are provided for image processing. For instance, a process can include generating motion vectors representing differences between a past image of a video and a current image of a video, wherein the current image occurs after the past image in the video, wherein the motion vectors are generated using a first machine learning model; applying the motion vectors to a third image to generate a warped third image; generating blending weights based on a comparison between the warped third image and the current image, wherein the blending weights are generated using a second machine learning model; upscaling the current image to generate an upscaled current image, wherein the upscaled current image is upscaled by a third machine learning model; combining the upscaled current image and a warped fourth image using the blending weights to generate an upscaled output image; and outputting the upscaled output image.

公开(公告)号：US20220292344A1

公开(公告)日：2022-09-15

申请号：US17200090

申请日：2021-03-12

Applicant: QUALCOMM Incorporated

Inventor： David HANSEN ,  Alireza SHOA HASSANI LASHDAN ,  Sivakumar CHIDAMBARAM ,  Haoping XU ,  Jeffrey Kar Fai WONG ,  Stone YUN ,  Darren GNANAPRAGASAM

IPC: G06N3/08 ,  G06K9/62

Abstract: Technologies are provided for processing data in neural networks. An example method can include processing, by each layer of a neural network, a row in a first stripe of a data input, the row being processed sequentially in a horizontal direction and according to a layer-by-layer sequence; after processing the row, processing, by each layer, subsequent rows in the first stripe on a row-by-row basis, each subsequent row being processed sequentially in the horizontal direction and according to the layer-by-layer sequence; generating an output stripe based on the processing of the row and subsequent rows; processing, by each layer, a second stripe of the data input, each row in the second stripe being processed in the horizontal direction and according to the layer-by-layer sequence, wherein rows in the second stripe are processed on a row-by-row basis; and generating another output stripe based on the processing of the second stripe.