18584548. IMAGE CODING METHOD AND DEVICE THEREFOR simplified abstract (LG ELECTRONICS INC.)
Contents
IMAGE CODING METHOD AND DEVICE THEREFOR
Organization Name
Inventor(s)
IMAGE CODING METHOD AND DEVICE THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18584548 titled 'IMAGE CODING METHOD AND DEVICE THEREFOR
The image decoding method described in the patent application involves receiving image information with residual information and an LFNST index from a bitstream, deriving a transform coefficient based on the residual information, determining a flag variable indicating whether LFNST is applied to the current block based on the LFNST index, and performing the LFNST on the transform coefficient using the flag variable for each color component of the block.
- Deriving transform coefficients from residual information
- Determining application of LFNST based on an index
- Performing LFNST on transform coefficients for each color component
Potential Applications: - Image and video compression technologies - Multimedia processing and encoding systems
Problems Solved: - Efficient image decoding with reduced computational complexity - Improved image quality and compression ratios
Benefits: - Enhanced image decoding performance - Reduced processing time and resource utilization
Commercial Applications: Title: Advanced Image Compression Technology for Multimedia Applications This technology can be utilized in various commercial sectors such as: - Media streaming services - Video conferencing platforms - Digital signage and advertising industries
Prior Art: Researchers and developers in the field of image and video compression technologies may have explored similar methods for improving decoding efficiency and quality.
Frequently Updated Research: Stay updated on advancements in image compression algorithms and multimedia processing techniques to enhance the performance of this technology.
Questions about Image Decoding Method: 1. How does the LFNST index impact the application of LFNST in the decoding process? 2. What are the key advantages of using residual information in deriving transform coefficients for image decoding?
Original Abstract Submitted
An image decoding method according to the present document may comprise the steps of: receiving image information including residual information and an LFNST index from a bitstream; deriving a transform coefficient on the basis of the residual information; deriving a flag variable related to whether LFNST is applied to a current block on the basis of the LFNST index; and performing the LFNST on the basis of the flag variable and the transform coefficient, wherein the flag variable is derived for each color component of the current block.
