公开(公告)号：US20210211668A1

公开(公告)日：2021-07-08

申请号：US16077181

申请日：2017-02-10

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jae-hwan KIM ,  Jong-seok LEE ,  Young-o PARK

IPC: H04N19/124 ,  H04N19/176 ,  H04N19/184 ,  H04N19/136

Abstract: Provided is an image encoding or decoding method and device capable of increasing image compression efficiency by determining a differential quantization parameter of a current block based on statistical information of original samples of the current block or samples reconstructed previously to the current block. The image decoding method includes receiving a bitstream, obtaining a predicted quantization parameter value and a quantized transformation coefficient of a current block from the bitstream, obtaining a differential quantization parameter of the current block based on statistical information of samples reconstructed previously to the current block, obtaining a quantization parameter of the current block based on the differential quantization parameter of the current block and the predicted quantization parameter value, and inversely quantizing the quantized transformation coefficient of the current block based on the quantization parameter of the current block.

公开(公告)号：US20210160522A1

公开(公告)日：2021-05-27

申请号：US16625461

申请日：2018-02-06

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jong-seok LEE ,  Jae-hwan KIM ,  Young-o PARK ,  Jeong-hoon PARK ,  Sun-young JEON ,  Kwang-pyo CHOI

IPC: H04N19/50 ,  H04N19/176 ,  H04N19/184 ,  H04N19/117 ,  H04N19/105 ,  H04N19/119 ,  G06N3/04 ,  G06N3/08

Abstract: Provided is a prediction image generating technology using a deep neural network (DNN). Provided is an image decoding method including: receiving a bitstream of an encoded image; determining at least one block split from the encoded image; determining neighboring blocks for predicting a current block among the at least one block; generating prediction data of the current block by applying the neighboring blocks to a DNN learning model configured to predict a block of an image by using at least one computer; extracting residual data of the current block from the bitstream; and reconstructing the current block by using the prediction data and the residual data.

公开(公告)号：US20200162751A1

公开(公告)日：2020-05-21

申请号：US16750615

申请日：2020-01-23

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Jae-hwan KIM ,  Young-o PARK ,  Jeong-hoon PARK ,  Jong-seok LEE ,  Sun-young JEON ,  Kwang-pyo CHOI

IPC: H04N19/33 ,  H04N19/184 ,  H04N19/80 ,  H04N19/50 ,  H04N19/14

Abstract: Provided are an image compressing method including determining a compressed image by performing downsampling using a deep neural network (DNN) on an image; determining a prediction signal by performing prediction based on the compressed image; determining a residual signal based on the compressed image and the prediction signal; and generating a bitstream comprising information about the residual signal, wherein the DNN has a network structure that is predetermined according to training of a downsampling process using information generated in an upsampling process, and an image compressing device for performing the image compressing method. Also, provided are an image reconstructing method of reconstructing a compressed image by using a DNN for upsampling, the compressed image having been compressed by the image compressing method, and an image reconstructing device for performing the image reconstructing method.

公开(公告)号：US20170332077A1

公开(公告)日：2017-11-16

申请号：US15524055

申请日：2015-05-21

Applicant: Samsung Electronics Co., Ltd.

Inventor： Dai-woong CHOI ,  Woong-il CHOI ,  Dong-woo KIM ,  A-rang LEE ,  Jong-seok LEE

IPC: H04N19/124 ,  H04N19/40

Abstract: Provided is a method of determining whether an image is to be re-encoded, the method including obtaining a first quantization matrix from an image file including the image, the image being encoded by quantization based on the first quantization matrix including a plurality of first quantization parameters; obtaining a second quantization matrix from a re-encoding device, the second quantization matrix including a plurality of second quantization parameters and having the same size as the first quantization matrix; determining a comparison coefficient based on elements greater than ‘0’ among elements of a comparison matrix obtained by subtracting the first quantization matrix from the second quantization matrix; and determining that the image is to be decoded by inverse quantization based on the first quantization matrix and the decoded image is to be re-encoded by quantization based on the second quantization matrix, when the comparison coefficient is greater than a first threshold value.