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1.
公开(公告)号:US20230360595A1
公开(公告)日:2023-11-09
申请号:US18143266
申请日:2023-05-04
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Kamal Jnawali , Joonsoo Kim , Chenguang Liu , Chang Su
IPC: G09G3/3208 , G06V20/40 , G06T5/40 , G06T5/00
CPC classification number: G09G3/3208 , G06V20/41 , G06T5/40 , G06T5/002 , G06V2201/09 , G06T2207/10024 , G06T2207/10016 , G09G2320/046 , G09G2320/0257 , G09G2320/0233 , G09G2320/0266
Abstract: One embodiment provides a computer-implemented method that includes receiving region information from a stationary region detection process for a video. A processor performs a flat region ghosting artifact removal process that updates the region information with a flat region indicator utilizing the region information and the video. The processor further performs a region based luminance reduction process utilizing the updated region information with the flat region indicator for display ghosting artifact removal and burn-in protection.
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公开(公告)号:USD989141S1
公开(公告)日:2023-06-13
申请号:US29768118
申请日:2021-01-27
Applicant: Samsung Electronics Co., Ltd.
Designer: Sangmin Hyun , Joonsoo Kim
Abstract: FIG. 1 is a front perspective view of a household robot, showing our new design;
FIG. 2 is a front view thereof;
FIG. 3 is a rear view thereof;
FIG. 4 is a left-side view thereof;
FIG. 5 is a right-side view thereof;
FIG. 6 is a top view thereof;
FIG. 7 is a bottom view thereof;
FIG. 8 is a rear perspective view thereof;
FIG. 9 is a front view thereof in an alternate configuration; and,
FIG. 10 is a front view thereof in another alternate configuration.
The broken lines illustrating portions of the household robot form no part of the claimed design.-
公开(公告)号:US20230047673A1
公开(公告)日:2023-02-16
申请号:US17818679
申请日:2022-08-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Joonsoo Kim , Kamal Jnawali , Chenguang Liu
IPC: G09G3/3208
Abstract: One embodiment provides a computer-implemented method that includes adaptively adjusting a detection time interval based on stationary region type of one or more stationary regions and a scene length in a video. The method further includes tracking pixels of the one or more stationary regions from a number of previous frames to a current frame in the video in real-time. A minimum and a maximum of max-Red-Green-Blue (MaxRGB) pixel values are extracted from each frame in a scene of the video as minimum and a maximum temporal feature maps for representing pixel variance over time. Segmentation and block matching are applied on the minimum and maximum temporal feature maps to detect the stationary region type.
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公开(公告)号:US12260526B2
公开(公告)日:2025-03-25
申请号:US17818681
申请日:2022-08-09
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Kamal Jnawali , Joonsoo Kim , Chenguang Liu , Chang Su
Abstract: One embodiment provides a computer-implemented method that includes providing a dynamic list structure that stores one or more detected object bounding boxes. Temporal analysis is applied that updates the dynamic list structure with object validation to reduce temporal artifacts. A two-dimensional (2D) buffer is utilized to store a luminance reduction ratio of a whole video frame. The luminance reduction ratio is applied to each pixel in the whole video frame based on the 2D buffer. One or more spatial smoothing filters are applied to the 2D buffer to reduce a likelihood of one or more spatial artifacts occurring in a luminance reduced region.
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公开(公告)号:US20250029210A1
公开(公告)日:2025-01-23
申请号:US18528241
申请日:2023-12-04
Applicant: Samsung Electronics Co., Ltd.
Inventor: Joonsoo Kim , Tien C. Bau , Kamal Jnawali
IPC: G06T5/50 , G06T3/4053 , G06T5/40
Abstract: A method includes obtaining a first image and a second image, where the second image represents a super-resolution version of the first image. The method also includes generating a third image representing a higher-resolution version of the first image. The method further includes performing flicker detection based on the third image and the second image in order to identify one or more flicker regions. The method also includes performing frequency decomposition of the third image to generate first decomposed images and of the second image to generate second decomposed images. In addition, the method includes blending portions of at least some of the first and second decomposed images based on the one or more identified flicker regions to generate a flicker-suppressed image.
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公开(公告)号:US20240119706A1
公开(公告)日:2024-04-11
申请号:US18242965
申请日:2023-09-06
Applicant: Samsung Electronics Co., Ltd.
Inventor: Kamal Jnawali , Tien Cheng Bau , Joonsoo Kim
CPC classification number: G06V10/774 , G06T3/4046 , G06T3/4053 , G06T7/13 , G06T7/73 , G06V10/26 , G06V10/82 , G06V20/46 , G06V20/62 , G06T2207/10016 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/20132 , G06V2201/09
Abstract: One embodiment provides a method comprising detecting at least one object displayed within at least one input frame of an input video. The method further comprises cropping, from the at least one input frame, at least one cropped image including the at least one object. The method further comprises generating at least one training image by overlaying simulated text on the at least one cropped image. The method further comprises providing the at least one training image to a pruned convolutional neural network (CNN). The pruned CNN learns, from the at least one training image, to reconstruct objects and textual regions during image super-resolution.
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公开(公告)号:US20250029217A1
公开(公告)日:2025-01-23
申请号:US18527955
申请日:2023-12-04
Applicant: Samsung Electronics Co., Ltd.
Inventor: Joonsoo Kim , Tien C. Bau
IPC: G06T5/00
Abstract: A method includes receiving a degraded image including aliasing artifacts and inputting the degraded image to an image enhancement network. This method also includes processing, using the image enhancement network, the degraded image to remove one or more of the aliasing artifacts and outputting, by the image enhancement network, a restored high-quality image. Another method includes obtaining a high-quality image of an environment and generating at least one degraded image of the environment by performing an aliasing artifact simulation on the obtained high-quality image. Performing the aliasing artifact simulation includes (i) performing a broken line artifact simulation to introduce one or more broken line artifacts on one or more objects in the environment of the high-quality image and/or (ii) performing a jaggy artifact simulation to introduce jaggy edges to one or more other objects in the environment of the high-quality image.
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公开(公告)号:US20230095237A1
公开(公告)日:2023-03-30
申请号:US17820203
申请日:2022-08-16
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Joonsoo Kim , Tien Cheng Bau , Hrishikesh Deepak Garud , Kamal Jnawali
Abstract: One embodiment provides a method comprising receiving an input video comprising low-resolution (LR) frames and corresponding super-resolution (SR) frames, and generating a motion-compensated previous SR frame based on a current LR frame of the video and a motion-compensated previous residual frame of the video. The previous SR frame aligns with a current SR frame corresponding to the current LR frame. The method further comprises, in response to determining there is a mismatch between the previous SR frame and the current SR frame, correcting in the current SR frame errors that result from motion compensation based on the motion-compensated previous SR frame. The method further comprises restoring details to the current SR frame that were lost as a result of the correcting, and suppressing flickers of the current SR frame on the frequency domain, resulting in a flicker-suppressed current SR frame for presentation on a display.
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公开(公告)号:USD743943S1
公开(公告)日:2015-11-24
申请号:US29477716
申请日:2013-12-26
Applicant: Samsung Electronics Co., Ltd.
Designer: Euiseok Kim , Joonsoo Kim
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10.
公开(公告)号:US20250078469A1
公开(公告)日:2025-03-06
申请号:US18734953
申请日:2024-06-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Joonsoo Kim , Tien Bau
IPC: G06V10/771 , G06T3/40 , G06T5/20 , G06V10/80
Abstract: A method includes obtaining, using at least one processing device of an electronic device, an input image. The method also includes performing, using the at least one processing device, single-image reconstruction based on the input image to generate a reconstructed output image, where the reconstructed output image has a higher dynamic range than the input image. Performing the single-image reconstruction includes restoring details to the input image based on deformable convolutions of feature maps associated with the input image.
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