公开(公告)号：US11636626B2

公开(公告)日：2023-04-25

申请号：US17100212

申请日：2020-11-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sangwook Baek ,  Minsu Cheon ,  Yongsup Park ,  Jaeyeon Park ,  Kwangpyo Choi

IPC: G06K9/62 ,  G06T9/00 ,  H04N19/30 ,  H04N19/136 ,  G06V10/82 ,  G06V10/764 ,  H04N19/20 ,  G06V20/60 ,  G06T7/10 ,  G06V10/70 ,  G06V10/72 ,  G06F18/2415 ,  G06N7/01 ,  G06V10/774 ,  G06V10/44 ,  G06V20/00 ,  G06V20/70

Abstract: An image providing apparatus configured to generate, by using a first artificial intelligence (AI) network, AI metadata including class information and at least one class map, in which the class information includes at least one class corresponding to a type of an object among a plurality of predefined objects included in a first image and the at least one class map indicates a region corresponding to each class in the first image, generate an encoded image by encoding the first image, and output the encoded image and the AI metadata through the output interface.

公开(公告)号：US11961207B2

公开(公告)日：2024-04-16

申请号：US17271328

申请日：2019-09-11

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Iljun Ahn ,  Yongsup Park ,  Jaeyeon Park ,  Minsu Cheon ,  Tammy Lee

IPC: G06T3/40 ,  G06N3/04 ,  G06N3/084 ,  G06T3/4046 ,  G06T5/00

CPC classification number: G06T3/4046 ,  G06N3/04 ,  G06N3/084 ,  G06T5/002 ,  G06T2207/20084

Abstract: Provided is an image processing apparatus including a memory storing one or more instructions and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is further configured to execute the one or more instructions to generate a second image by performing a deconvolution operation on a first image and a kernel comprising one or more weights, set values of the one or more weights based on the second image, and adjust the values of the one or more weights based on positions of the one or more weights in the kernel.

公开(公告)号：US11315223B2

公开(公告)日：2022-04-26

申请号：US16962270

申请日：2019-01-24

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Minsu Cheon ,  Yongsup Park ,  Changhan Kim ,  Jaeyeon Park ,  Iljun Ahn ,  Heeseok Oh ,  Tammy Lee ,  Kiheum Cho

IPC: G06T5/00 ,  H04N5/235

Abstract: An image processing apparatus is disclosed. The present image processing apparatus comprises: a memory for storing a low dynamic range (LDR) image and a processor for adjusting the brightness of the LDR image by means of a pixel-specific brightness ratio identified using a first parameter, and acquiring a high dynamic range (HDR) image by adding or subtracting a pixel-specific correction value identified using a second parameter in the brightness-adjusted LDR image.

公开(公告)号：US11825234B2

公开(公告)日：2023-11-21

申请号：US17256560

申请日：2019-07-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Iljun Ahn ,  Yongsup Park ,  Jaeyeon Park ,  Tammy Lee ,  Minsu Cheon

IPC: H04N7/01 ,  G06N3/08 ,  G06T3/40 ,  G06T5/00 ,  G06F18/22 ,  G06N3/045

CPC classification number: H04N7/0117 ,  G06F18/22 ,  G06N3/045 ,  G06N3/08 ,  G06T3/4007 ,  G06T3/4046 ,  G06T5/002 ,  G06T2207/10016 ,  G06T2207/20084 ,  G06T2207/20182

Abstract: Provided is an image processing apparatus for generating a high-resolution image. The image processing apparatus includes a memory storing one or more instructions and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is configured to extract feature information regarding a low-resolution image of a current frame by using a first convolutional neural network, generate, based on the feature information, a first high-resolution image of the current frame, remove flickering of the first high-resolution image by using a high-resolution image of a previous frame, and remove flickering of a high-resolution image of a next frame by using at least one of a flickering-removed second high-resolution image of the current frame, or the feature information.

公开(公告)号：US11380081B2

公开(公告)日：2022-07-05

申请号：US16861428

申请日：2020-04-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaeyeon Park ,  Yongsup Park ,  Iljun Ahn ,  Sangwook Baek ,  Minsu Cheon ,  Kwangpyo Choi

IPC: G06V10/40 ,  G06K9/62 ,  G06N3/08 ,  G06T5/20

Abstract: Provided is an image processing apparatus including a memory storing at least one instruction, and a processor configured to execute the at least one instruction stored in the memory to obtain first feature information by performing a convolution operation on a first image and a first kernel included in a first convolution layer among a plurality of convolution layers, obtain at least one piece of characteristic information, based on the first feature information; obtain second feature information, based on the first feature information and the at least one piece of characteristic information, obtain third feature information by performing a convolution operation on the obtained second feature information and a second kernel included in a second convolution layer that is a layer next to the first convolution layer among the plurality of convolution layers, and obtain an output image, based on the third feature information.

公开(公告)号：US11921822B2

公开(公告)日：2024-03-05

申请号：US17299607

申请日：2019-10-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaeyeon Park ,  Iljun Ahn ,  Yongsup Park ,  Jaehee Kwak ,  Tammy Lee ,  Minsu Cheon

IPC: G06F18/22 ,  G06N3/04 ,  G06T7/11 ,  G06V10/40 ,  G06V10/75

CPC classification number: G06F18/22 ,  G06N3/04 ,  G06T7/11 ,  G06V10/40 ,  G06V10/759

Abstract: Provided are an image processing apparatus and an operation method of the image processing apparatus. The image processing apparatus includes a memory storing one or more instructions, and a processor configured to execute the one or more instructions stored in the memory to, by using one or more convolution neural networks, extract target features by performing a convolution operation between features of target regions having same locations in a plurality of input images and a first kernel set, extract peripheral features by performing a convolution operation of features of peripheral regions located around the target regions in the plurality of input images and a second kernel set, and determine a feature of a region corresponding to the target regions in an output image, based on the target features and the peripheral features.

公开(公告)号：US11871144B2

公开(公告)日：2024-01-09

申请号：US17256560

申请日：2019-07-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Iljun Ahn ,  Yongsup Park ,  Jaeyeon Park ,  Tammy Lee ,  Minsu Cheon

IPC: H04N7/01 ,  G06N3/08 ,  G06T3/40 ,  G06T5/00 ,  G06F18/22 ,  G06N3/045

CPC classification number: H04N7/0117 ,  G06F18/22 ,  G06N3/045 ,  G06N3/08 ,  G06T3/4007 ,  G06T3/4046 ,  G06T5/002 ,  G06T2207/10016 ,  G06T2207/20084 ,  G06T2207/20182

Abstract: Provided is an image processing apparatus for generating a high-resolution image. The image processing apparatus includes a memory storing one or more instructions and a processor configured to execute the one or more instructions stored in the memory, wherein the processor is configured to extract feature information regarding a low-resolution image of a current frame by using a first convolutional neural network, generate, based on the feature information, a first high-resolution image of the current frame, remove flickering of the first high-resolution image by using a high-resolution image of a previous frame, and remove flickering of a high-resolution image of a next frame by using at least one of a flickering-removed second high-resolution image of the current frame, or the feature information.

公开(公告)号：US11861808B2

公开(公告)日：2024-01-02

申请号：US16971625

申请日：2019-02-20

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jaeyeon Park ,  Iljun Ahn ,  Yongsup Park ,  Tammy Lee ,  Minsu Cheon

IPC: G06T3/40 ,  G06N3/08 ,  G06F17/18 ,  G06T5/20

CPC classification number: G06T3/4053 ,  G06F17/18 ,  G06N3/08 ,  G06T3/4007 ,  G06T5/20

Abstract: An electronic device is disclosed. The electronic device of the disclosure comprises: a memory in which a learned artificial intelligence model is stored; and a processor for inputting an input image to the artificial intelligence model and outputting an enlarged image with increased resolution, wherein the learned artificial intelligence model includes an upscaling module for acquiring the pixel values of interpolated pixels around a cell according to a function having a nonlinearly decreasing symmetric form with reference to an original pixel in the enlarged image, the original pixel corresponding to a pixel of the input image.