Lg electronics inc. (20240137512). TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE THEREFOR simplified abstract
Contents
- 1 TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE THEREFOR
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRANSFORM-BASED 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 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE THEREFOR
Organization Name
Inventor(s)
TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240137512 titled 'TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE THEREFOR
Simplified Explanation
The image decoding method described in the abstract involves performing inverse first-order transform and inverse non-separable transform on a residual sample. The inverse non-separable transform is based on a transform index indicating a predetermined transform kernel matrix, while the inverse first-order transform is based on a multiple transform selection (MTS) index indicating MTS for horizontal and vertical transform kernels. A syntax element bin string for the transform index is derived from first context information when the tree type for a split structure of a target block is not a single tree type, and from second context information when the tree type is the single tree type.
- Inverse first-order transform and inverse non-separable transform are performed on a residual sample.
- Transform index and MTS index are used to determine the transform kernels for the decoding process.
- Syntax element bin string is derived based on context information to optimize the decoding process.
Potential Applications
This technology can be applied in:
- Image and video decoding systems
- Multimedia compression algorithms
- Signal processing applications
Problems Solved
This technology helps in:
- Efficient decoding of images and videos
- Reducing data loss during compression
- Improving image quality in multimedia applications
Benefits
The benefits of this technology include:
- Enhanced image and video quality
- Faster decoding process
- Improved compression efficiency
Potential Commercial Applications
This technology can be utilized in:
- Media streaming services
- Video conferencing systems
- Digital image processing software
Possible Prior Art
One possible prior art for this technology could be the use of similar transform techniques in image and video compression standards like JPEG and MPEG.
Unanswered Questions
How does this technology compare to existing image decoding methods in terms of efficiency and quality?
This article does not provide a direct comparison with existing image decoding methods, so it is unclear how this technology stacks up against current practices.
What are the potential limitations or drawbacks of implementing this image decoding method in real-world applications?
The article does not address any potential limitations or drawbacks of implementing this image decoding method, leaving uncertainty about its practical implications and challenges.
Original Abstract Submitted
an image decoding method according to the present document comprises a step for performing inverse first-order transform and inverse non-separable transform on a residual sample. the inverse non-separable transform is performed on the basis of a transform index indicating a predetermined transform kernel matrix, the inverse first-order transform is performed on the basis of a multiple transform selection (mts) index indicating mts for a horizontal transform kernel and a vertical transform kernel, and a syntax element bin string for the transform index is derived on the basis of first context information when a tree type for a split structure of a target block is not a single tree type and is derived on the basis of second context information when the tree type is the single tree type.
