Lg electronics inc. (20240195977). IMAGE CODING METHOD AND DEVICE THEREFOR simplified abstract
Contents
- 1 IMAGE CODING METHOD AND DEVICE THEREFOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 IMAGE CODING METHOD AND DEVICE THEREFOR - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Commercial Applications
- 1.9 Prior Art
- 1.10 Frequently Updated Research
- 1.11 Questions about Image Decoding Technology
- 1.12 Original Abstract Submitted
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 20240195977 titled 'IMAGE CODING METHOD AND DEVICE THEREFOR
Simplified Explanation
The image decoding method described in the patent application involves receiving image information with residual information and an lfnst index, deriving a transform coefficient based on the residual information, determining if lfnst is applied to a current block using the lfnst index, and performing lfnst on the transform coefficient based on this determination.
- Receiving image information with residual data and an lfnst index from a bitstream.
- Deriving a transform coefficient from the residual information.
- Determining if lfnst is applied to a current block based on the lfnst index.
- Performing lfnst on the transform coefficient based on the determination for each color component of the current block.
Potential Applications
This technology can be applied in various image and video decoding systems where efficient compression and decompression methods are required.
Problems Solved
This technology addresses the need for improved image decoding efficiency and accuracy by applying lfnst selectively based on the characteristics of the image data.
Benefits
The benefits of this technology include enhanced image decoding performance, reduced computational complexity, and improved image quality.
Commercial Applications
Title: Advanced Image Decoding Technology for Enhanced Compression This technology can be utilized in digital cameras, video streaming services, medical imaging devices, and other applications where image compression and decompression are essential for efficient data transmission and storage.
Prior Art
Further research can be conducted on image and video compression standards such as H.264, H.265, and AV1 to explore prior art related to selective transform coefficient processing.
Frequently Updated Research
Researchers are continually exploring new methods for improving image and video compression techniques, which may include advancements in transform coefficient processing and selective application of encoding algorithms.
Questions about Image Decoding Technology
What are the key advantages of applying lfnst selectively in image decoding processes?
Selective application of lfnst allows for optimized compression while maintaining image quality by adapting the encoding process to the characteristics of the image data.
How does the lfnst index impact the decision-making process for applying lfnst in image decoding?
The lfnst index provides information on whether lfnst should be applied to a specific block, enabling efficient processing of transform coefficients based on the encoding requirements.
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.
