公开(公告)号：US20200160811A1

公开(公告)日：2020-05-21

申请号：US16752965

申请日：2020-01-27

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Atanas Boev ,  Panji Setiawan

IPC: G09G5/02 ,  G09G3/36 ,  G02F1/1335 ,  G02B27/01 ,  G02B30/26

Abstract: The disclosure provides a multifocal display device, comprising a display configured to generate an image, and a controller configured to control the display according to a bit sequence provided over a determined time period to generate the image with one or more colors. The bit sequence includes for each color a subsequence of bits of different significance. Neither the first bit nor the last bit of the subsequence for the respective color is the most significant bit of the subsequence.

公开(公告)号：US12062155B2

公开(公告)日：2024-08-13

申请号：US17491007

申请日：2021-09-30

Applicant: Huawei Technologies Co., Ltd.

Inventor： Lukasz Kondrad ,  Atanas Boev ,  Panji Setiawan ,  Bogdan Cihodariu Ionita

IPC: G06T5/50 ,  G02B30/52 ,  G06T5/20 ,  G06T5/70 ,  G06T5/77

CPC classification number: G06T5/50 ,  G02B30/52 ,  G06T5/20 ,  G06T5/70 ,  G06T5/77 ,  G06T2207/20221

Abstract: The present disclosure provides a an image processing device for providing a plurality of enhanced partial images which together represent an enhanced three-dimensional, 3D, image, wherein each enhanced partial image is a two-dimensional, 2D, image associated with one of a plurality of focal planes. The image processing device includes processing circuitry configured to receive or generate a plurality of initial partial images, which together form an initial 3D image, wherein each initial partial image is a 2D image associated with one of the plurality of focal planes; and to generate, from each of the initial partial images, an enhanced partial image by generating a blurred version of the initial partial image; and blending the initial partial image with the blurred version of the initial partial image.

公开(公告)号：US20240244274A1

公开(公告)日：2024-07-18

申请号：US18620667

申请日：2024-03-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Ahmet Burakhan Koyuncu ,  Atanas Boev ,  Elena Alexandrovna Alshina

IPC: H04N19/91 ,  G06N7/01 ,  H04N19/436

CPC classification number: H04N19/91 ,  G06N7/01 ,  H04N19/436

Abstract: Methods and apparatuses are described for entropy encoding and decoding of a latent tensor, which includes separating the latent tensor into segments in the spatial dimensions and in the channel dimension, each segment including at least one latent tensor element. An arrangement of the segments is processed by a neural network; the neural network includes at least one attention layer. Based on the processed segment a probability model is obtained for entropy encoding or decoding of a latent tensor element.

公开(公告)号：US12034905B2

公开(公告)日：2024-07-09

申请号：US17561429

申请日：2021-12-23

Applicant: Huawei Technologies Co., Ltd.

Inventor： Bogdan Cihodariu Ionita ,  Atanas Boev ,  Panji Setiawan

IPC: H04N13/144 ,  H04N13/344

CPC classification number: H04N13/144 ,  H04N13/344

Abstract: The present invention provides a device comprising circuitry configured to obtain a plurality of initial two-dimensional, 2D, images which together represent an initial three-dimensional, 3D, image, wherein each initial 2D image is associated with one of a plurality of focal planes. The device is further configured to generate one or more blurred versions of each of the initial 2D images on one or more of the focal planes other than its associated focal plane; generate a high passed version of each of the initial 2D images on its associated focal plane; and generate a plurality of final 2D images by generating for each focal plane a final 2D image based on the high passed version of the initial 2D image associated with that focal plane and one or more blurred versions generated on that focal plane from one or more of the other initial 2D images.

公开(公告)号：US11508330B2

公开(公告)日：2022-11-22

申请号：US17504356

申请日：2021-10-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Atanas Boev ,  Panji Setiawan ,  Bogdan Cihodariu Ionita

IPC: G09G5/10 ,  G09G5/04 ,  G09G5/39

Abstract: The present disclosure provides a device, in particular a multifocal display device. The device includes: a display element configured to generate an image; and a controller configured to control the display element according to at least a first bit sequence provided over a first determined time period and a second bit sequence provided over a second determined time period, in order to generate the image with one or more colors, the bit sequences including for each color a number of bits of different significance. Moreover, the device is configured to generate the first bit sequence from an original bit sequence based on discarding at least one bit of a color and to generate the second bit sequence from the original bit sequence based on discarding at least one other bit of the color.

公开(公告)号：US11202060B2

公开(公告)日：2021-12-14

申请号：US16791885

申请日：2020-02-14

Applicant: Huawei Technologies Co., Ltd.

Inventor： Atanas Boev ,  Hector Navarro Fructuoso ,  Panji Setiawan

IPC: H04N13/322 ,  G02B3/14 ,  H04N13/332

Abstract: A multifocal display device has a focus tunable lens (FTL) and a controller configured to shift a focus of the FTL from a first focal plane to a second focal plane by applying a compensated control signal to the FTL. The controller is configured to generate a current compensated control signal value, which is a value of the compensated control signal for a current point in time, based on one or more previous compensated control signal values, which are values of the compensated control signal at one or more previous points in time.

公开(公告)号：US20250142099A1

公开(公告)日：2025-05-01

申请号：US19007203

申请日：2024-12-31

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Johannes Sauer ,  Panqi Jia ,  Elena Alexandrovna Alshina ,  Atanas Boev

IPC: H04N19/436 ,  H04N19/119 ,  H04N19/172 ,  H04N19/70 ,  H04N19/80 ,  H04N19/85

Abstract: Neural-network-based picture encoding and decoding of image regions may be performed on a tile-basis. An input tensor representing picture data is processed by the neural network, which includes at least a first and second subnetwork. The first subnetwork is applied to a first tensor where the first tensor is divided in a spatial dimensions into a first plurality of tiles. The first tiles are then further processed by the first subnetwork. After application of the first subnetwork, the second subnetwork is applied to a second tensor where the second tensor is divided in the spatial dimensions into a second plurality of tiles. The second tiles are then further processed by the second subnetwork. Among the first and second plurality of tiles there are at least two respective collocated tiles differing in size.

公开(公告)号：US12210159B2

公开(公告)日：2025-01-28

申请号：US17504340

申请日：2021-10-18

Applicant: Huawei Technologies Co., Ltd.

Inventor： Atanas Boev ,  Hector Navarro Fructuoso ,  Bogdan Cihodariu Ionita ,  Panji Setiawan

IPC: G02B27/01 ,  G02B26/08 ,  G02B27/14

Abstract: An optical system for a display device for head mounting is described. In particular a Maxwellian display device, with an enlarged eye-box is described. The optical system includes a beam forming element configured to converge multiple sets of light beams into at least two points of convergence (e.g., on an exit pupil of the optical system or of the display device using the optical system), and at least one optical arrangement comprising an input for input light beams, at least one beam splitter and at least three reflectors. The at least one beam splitter and at least three reflectors are positioned to form the multiple sets of the light beams from the input light beams such that the multiple sets of the light beams have equally long beam paths from the input to the beam forming element. Each point of convergence is a convergent viewing point for a user, thus enlarging the eye-box.

公开(公告)号：US20240422316A1

公开(公告)日：2024-12-19

申请号：US18818526

申请日：2024-08-28

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Kai Cui ,  Atanas Boev ,  Eckehard Steinbach ,  Elena Alexandrovna Alshina ,  Ahmet Burakhan Koyuncu

IPC: H04N19/12 ,  H04N19/119 ,  H04N19/17 ,  H04N19/33 ,  H04N19/42 ,  H04N19/625 ,  H04N19/63

Abstract: The present disclosure relates to image modification such as an image enhancement wherein the processing is at least partially based on neural networks. In particular, the image modification includes a multi-channel processing in which a primary channel is processed separately and secondary channels are processed based on the processed primary channel. The primary channel is processed based on a first spatial frequency transform to obtain a transformed primary channel and the secondary channel is processed based on a second spatial frequency transform to obtain a transformed secondary channel. The transformed primary channel is processed by means of a first neural network to obtain a modified transformed primary channel and the transformed secondary channel is processed based on the transformed primary channel by means of a second neural network to obtain a modified transformed secondary channel.

公开(公告)号：US20240296593A1

公开(公告)日：2024-09-05

申请号：US18661245

申请日：2024-05-10

Applicant: HUAWEI TECHNOLOGIES CO., LTD.

Inventor： Alexander Alexandrovich Karabutov ,  Panqi Jia ,  Atanas Boev ,  Han Gao ,  Biao Wang ,  Elena Alexandrovna Alshina ,  Johannes Sauer

IPC: G06T9/00 ,  H04N19/13 ,  H04N19/167 ,  H04N19/186

CPC classification number: G06T9/002 ,  H04N19/13 ,  H04N19/167 ,  H04N19/186

Abstract: A conditional coding of components of an image is described. A method of encoding at least a portion of an image is provided, which comprises encoding a primary component of the image independently from at least one secondary component and encoding the at least one secondary component of the image using information from the primary component. Further, it is provided a method of encoding at least a portion of an image, comprising providing a residual comprising a primary residual component for a primary component of the image and at least one secondary residual component for at least one secondary component of the image that is different from the primary component, encoding the primary residual component independently from the at least one secondary residual component and encoding the at least one secondary residual component using information from the primary residual component.