TRANSFORM-BASED IMAGE CODING METHOD AND APPARATUS THEREFOR

Organization Name

Inventor(s)

TRANSFORM-BASED IMAGE CODING METHOD AND APPARATUS THEREFOR - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240195988 titled 'TRANSFORM-BASED IMAGE CODING METHOD AND APPARATUS THEREFOR

The image decoding method described in the abstract involves deriving transform coefficients for a current block based on residual information, applying techniques like lfnst and mts to derive residual samples, and generating a reconstructed picture from these samples.

The method involves deriving transform coefficients for a block based on residual information.
Techniques like lfnst and mts are applied to derive residual samples from the transform coefficients.
The reconstructed picture is generated using these residual samples.
Lfnst is performed based on an lfnst index indicating an lfnst kernel.
Mts is performed based on an mts index indicating an mts kernel.
The lfnst index may be parsed before the mts index.

Potential Applications: This method can be used in various image and video decoding applications where efficient compression and reconstruction are required.

Problems Solved: This technology addresses the need for improved image decoding efficiency and accuracy by utilizing advanced techniques like lfnst and mts.

Benefits: The method offers enhanced image quality, reduced file sizes, and improved decoding speed, leading to a better user experience in multimedia applications.

Commercial Applications: This technology can be utilized in video streaming services, digital cameras, medical imaging devices, and other industries where image decoding is essential for operations.

Prior Art: Researchers can explore prior art related to image decoding methods, transform coefficients, and residual information processing to understand the evolution of this technology.

Frequently Updated Research: Stay updated on the latest advancements in image decoding techniques, transform kernels, and residual sample generation to enhance the efficiency and performance of this method.

Questions about Image Decoding: 1. How does the use of lfnst and mts improve the efficiency of image decoding? 2. What are the potential applications of this advanced image decoding method?

Original Abstract Submitted

an image decoding method according to the present document comprises the steps of: deriving a transform coefficient for a current block on the basis of residual information; deriving a residual sample by applying, to the transform coefficient, at least one of lfnst and mts; and generating a reconstructed picture on the basis of the residual samples, wherein the lfnst is performed on the basis of an lfnst index indicating an lfnst kernel, the mts is performed on the basis of an mts index indicating an mts kernel, and the lfnst index may be parsed before the mts index.