公开(公告)号：US12069381B2

公开(公告)日：2024-08-20

申请号：US18354394

申请日：2023-07-18

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yibo Xu ,  Hamid R. Sheikh

IPC: H04N23/80 ,  G06F1/16 ,  H04N23/76 ,  H04N23/84

CPC classification number: H04N23/80 ,  H04N23/76 ,  H04N23/84 ,  G06F1/1686

Abstract: A method includes obtaining an image, where the image includes one or more frames. The method also includes performing multi-frame processing, image signal processing, and image processing on the image to produce a processed image. The method further includes applying a chroma suppression to the processed image. The chroma suppression is configured to reduce brightness and color saturation in one or more select areas within the processed image.

公开(公告)号：US20240135673A1

公开(公告)日：2024-04-25

申请号：US18049213

申请日：2022-10-23

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yibo Xu ,  Weidi Liu ,  Hamid R. Sheikh ,  John Seokjun Lee

IPC: G06V10/70 ,  G06T5/00 ,  G06V10/60

CPC classification number: G06V10/70 ,  G06T5/003 ,  G06V10/60

Abstract: A method includes obtaining an under-display camera (UDC) image captured using a camera located under a display. The method also includes processing, using at least one processing device of an electronic device, the UDC image based on a machine learning model to restore the UDC image. The method further includes displaying or storing the restored image corresponding to the UDC image. The machine learning model is trained using (i) a ground truth image and (ii) a synthetic image generated using the ground truth image and a point spread function that is based on an optical transmission model of the display.

公开(公告)号：US11792535B2

公开(公告)日：2023-10-17

申请号：US17586490

申请日：2022-01-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Yibo Xu ,  Hamid R Sheikh

IPC: H04N23/80 ,  H04N23/76 ,  H04N23/84 ,  G06F1/16

CPC classification number: H04N23/80 ,  H04N23/76 ,  H04N23/84 ,  G06F1/1686

Abstract: A system and method are provided to improve quality in an under-display camera (UDC) system with radially-increasing distortion. At least one processor receives an image and performs multi-frame processing, image signal processing, and a point spread function inversion (PSFI) on the image to produce a processed image. A PSFI radial coring is applied on the processed image to reduce noise in the processed image resulting from the PSFI. The at least one processor can apply a chroma suppression to the processing of the image to reduce brightness and color saturation is select areas in the processed image. Image restoration can be performed on the processed image to produce an output image. The image restoration may include generating a dither signal, applying a dither signal corner attenuation to the dither signal, combining the attenuated dither signal with a sharpened denoised signal, and applying a halo suppression on the combined signals.

公开(公告)号：US20230034109A1

公开(公告)日：2023-02-02

申请号：US17586435

申请日：2022-01-27

Applicant: Samsung Electronics Co., Ltd.

Inventor： Long N. Le ,  Yibo Xu ,  John W. Glotzbach ,  Zhen Tong ,  Hamid R. Sheikh

IPC: G06T5/00 ,  H04N5/367 ,  G06T5/10

Abstract: A method includes obtaining a blended red-green-blue (RGB) image frame of a scene. The method also includes performing, using at least one processing device of an electronic device, an interband denoising operation to remove at least one of noise and one or more artifacts from the blended RGB image frame in order to produce a denoised RGB image frame. Performing the interband denoising operation includes performing filtering of red, green, and blue color channels of the blended RGB image frame to remove at least one of the noise and the one or more artifacts from the blended RGB image frame. The filtering of the red and blue color channels of the blended RGB image frame is based on image data of at least one of the green color channel and a white color channel of the blended RGB image frame.

公开(公告)号：US20220207658A1

公开(公告)日：2022-06-30

申请号：US17139880

申请日：2020-12-31

Applicant: Samsung Electronics Co., Ltd.

Inventor： Zhen Tong ,  Yibo Xu ,  John W. Glotzbach ,  Hamid R. Sheikh ,  Ruiwen Zhen ,  Baekdu Choi

IPC: G06T5/00 ,  G06T7/13 ,  G06T5/50 ,  G06T5/20

Abstract: Various image sharpening techniques are disclosed. For example, a method for image sharpening includes obtaining, using at least one sensor of an electronic device, an image that includes visual content. The method also includes generating an edge map that indicates edges of the visual content within the image. The method further includes applying a high-pass signal and an adaptive gain based on the edge map to sharpen the image. The method also includes generating a bright halo mask and a dark halo mask based on the edge map, where the bright halo mask indicates an upper sharpening limit and the dark halo mask indicates a lower sharpening limit. In addition, the method includes modifying a level of sharpening at one or more of the edges within the sharpened image to provide halo artifact reduction based on the bright halo mask and the dark halo mask.