IP Library Granted Patent US 11,973,963
Granted Patent B2
US 11,973,963 · App. 18/089,100 · Granted Apr 30, 2024

Transform-based image coding method and device

Inventors: Moonmo Koo (Seoul, KR); Mehdi Salehifar (Seoul, KR); Seunghwan Kim (Seoul, KR); Jaehyun Lim (Seoul, KR)
Assignee: LG ELECTRONICS INC.
H04N19/18H04N19/11H04N19/122H04N19/124H04N19/129H04N19/159H04N19/176H04N19/184H04N19/593H04N19/61H04N19/91
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Quick Facts
Patent No.
US 11,973,963
App. No.
18/089,100
Granted
Apr 30, 2024
Kind
B2
Abstract

An image decoding method according to the present disclosure includes deriving transform coefficients through dequantization based on the quantized transform coefficients for the target block; deriving modified transform coefficients based on an inverse reduced secondary transform (RST) for the transform coefficients; deriving residual samples for the target block based on an inverse primary transform for the modified transform coefficients; and generating a reconstructed samples based on the residual samples, and prediction samples derived based on an intra prediction mode for the target block, wherein the inverse RST is performed based on a transform kernel matrix selected from a transform set including a plurality of transform kernel matrices, the transform set is determined based on a mapping relationship according to the intra prediction mode applied to the target block, and a plurality of intra prediction modes including the intra prediction mode of the target block are mapped to one transform set.

Claims (43)

1. An image decoding method performed by a decoding apparatus, comprising:

deriving quantized transform coefficients for a target block from a bitstream;

deriving dequantized transform coefficients for the target block through dequantization based on the quantized transform coefficients for the target block;

deriving modified transform coefficients based on an inverse reduced secondary transform (RST) for the dequantized transform coefficients, wherein the inverse RST derives the modified transform coefficients through a matrix operation of the dequantized transform coefficients and a transform kernel matrix, a number of the modified transform coefficients is greater than a number of the dequantized transform coefficients, the modified transform coefficients are arranged in a top-left area of the target block, and the top-left area is a top-left 4×4 area of the target block or a top-left 8×8 area of the target block;

deriving residual samples for the target block based on an inverse primary transform for the modified transform coefficients; and

generating a reconstructed picture based on the residual samples for the target block and prediction samples derived based on an intra prediction mode for the target block,

wherein the inverse RST is performed based on the transform kernel matrix selected from a transform set including a plurality of transform kernel matrices,

wherein the transform set is determined based on a mapping relationship according to the intra prediction mode applied to the target block, and

wherein five or more directional intra prediction modes are mapped to one transform set.

2. The image decoding method of claim 1 , wherein:

a first intra prediction mode for a first target block to which the inverse RST is applied and a second intra prediction mode for a second target block to which the inverse RST is applied are different from each other, and

transform sets mapped to the first intra prediction mode and the second intra prediction mode are same.

3. The image decoding method of claim 1 , wherein the modified transform coefficients are mapped into the target block based on a diagonal scan order.

4. The image decoding method of claim 1 , further comprising:

obtaining information on whether the inverse RST is applied, wherein the information is included in a sequence parameter set (SPS) in the bitstream.

5. An image encoding method performed by an image encoding apparatus, comprising:

deriving prediction samples based on an intra prediction mode applied to a target block;

deriving residual samples for the target block based on the prediction samples;

deriving transform coefficients for the target block based on a primary transform for the residual samples;

deriving modified transform coefficients based on a reduced secondary transform (RST) for the transform coefficients; and

deriving quantized transform coefficients by performing quantization based on the modified transform coefficients,

wherein the RST derives the modified transform coefficients through a matrix operation of the transform coefficients and a transform kernel matrix,

a number of the modified transform coefficients is less than a number of the transform coefficients, and

the transform coefficients are arranged in a top-left area of the target block,

wherein the top-left area is a top-left 4×4 area of the target block or a top-left 8×8 area of the target block,

wherein the RST is performed based on the transform kernel matrix selected from a transform set including a plurality of transform kernel matrices,

wherein the transform set is determined based on a mapping relationship according to the intra prediction mode applied to the target block, and

wherein five or more directional intra prediction modes are mapped to one transform set.

6. The image encoding method of claim 5 , wherein:

a first intra prediction mode for a first target block to which the RST is applied and a second intra prediction mode for a second target block to which the RST is applied are different from each other, and

transform sets mapped to the first intra prediction mode and the second intra prediction mode are same.

7. The image encoding method of claim 5 , further comprising:

encoding information on whether the RST is applied, wherein the information is included in a sequence parameter set (SPS) in a bitstream.

8. A transmitting method of data for an image, comprising:

obtaining a bitstream for the image, wherein the bitstream is generated based on deriving prediction samples based on an intra prediction mode applied to a target block, deriving residual samples for the target block based on the prediction samples, deriving transform coefficients for the target block based on a primary transform for the residual samples, deriving modified transform coefficients based on a reduced secondary transform (RST) for the transform coefficients deriving quantized transform coefficients by performing quantization based on the modified transform coefficients, and encoding image information related to the quantized transform coefficients; and

transmitting the data comprising the bitstream,

wherein the RST derives the modified transform coefficients through a matrix operation of the transform coefficients and a transform kernel matrix,

a number of the modified transform coefficients is less than a number of the transform coefficients, and

the transform coefficients are arranged in a top-left area of the target block,

wherein the top-left area is a top-left 4×4 area of the target block or a top-left 8×8 area of the target block,

wherein the RST is performed based on the transform kernel matrix selected from a transform set including a plurality of transform kernel matrices,

wherein the transform set is determined based on a mapping relationship according to the intra prediction mode applied to the target block, and

wherein five or more directional intra prediction modes are mapped to one transform set.

Assignments (2)
NUNC PRO TUNC ASSIGNMENT Recorded Jan 22, 2025
From: LG ELECTRONICS INC.
To: BEIJING XIAOMI MOBILE SOFTWARE CO., LTD.
Reel/Frame 069988/0424 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 27, 2022
From: KOO, MOONMO; SALEHIFAR, MEHDI; KIM, SEUNGHWAN; LIM, JAEHYUN
To: LG ELECTRONICS INC.
Reel/Frame 062212/0213 →
Continuity (5)
Continuation 17562923 · Dec 27, 2021
Continuation 17138662 · Dec 30, 2020
Continuation PCTKR2019008377 · Jul 8, 2019
Provisional Application 62694929 · Jul 6, 2018
Related Publication 20230133403A1 · May 4, 2023