18583655. METHOD AND DEVICE FOR IMAGE DECODING ON BASIS OF CCLM PREDICTION IN IMAGE CODING SYSTEM simplified abstract (LG ELECTRONICS INC.)
Contents
- 1 METHOD AND DEVICE FOR IMAGE DECODING ON BASIS OF CCLM PREDICTION IN IMAGE CODING SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 METHOD AND DEVICE FOR IMAGE DECODING ON BASIS OF CCLM PREDICTION IN IMAGE CODING SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Key Features and Innovation
- 1.6 Potential Applications
- 1.7 Problems Solved
- 1.8 Benefits
- 1.9 Commercial Applications
- 1.10 Prior Art
- 1.11 Frequently Updated Research
- 1.12 Questions about Image Decoding
- 1.13 Original Abstract Submitted
METHOD AND DEVICE FOR IMAGE DECODING ON BASIS OF CCLM PREDICTION IN IMAGE CODING SYSTEM
Organization Name
Inventor(s)
METHOD AND DEVICE FOR IMAGE DECODING ON BASIS OF CCLM PREDICTION IN IMAGE CODING SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18583655 titled 'METHOD AND DEVICE FOR IMAGE DECODING ON BASIS OF CCLM PREDICTION IN IMAGE CODING SYSTEM
Simplified Explanation
The patent application describes a method for decoding images using a specific intra prediction mode called CCLM.
- Deriving a specific value for the current chroma block.
- Deriving neighboring chroma samples based on the width and height of the current chroma block.
- Deriving CCLM parameters from neighboring chroma samples and down-sampled luma samples.
- Generating prediction samples and reconstructed samples for the current chroma block.
Key Features and Innovation
- Utilizes a specific intra prediction mode (CCLM) for image decoding.
- Derives specific values for chroma blocks to improve prediction accuracy.
- Incorporates neighboring chroma and luma samples for more accurate predictions.
- Enhances image quality by generating reconstructed samples based on prediction samples.
Potential Applications
This technology can be applied in various image and video decoding systems, including multimedia devices, surveillance systems, and video streaming platforms.
Problems Solved
- Improves the accuracy of intra prediction in image decoding.
- Enhances the quality of reconstructed images and videos.
- Optimizes the utilization of neighboring samples for better prediction results.
Benefits
- Higher quality image and video decoding.
- Improved compression efficiency.
- Enhanced visual experience for users.
Commercial Applications
- Video streaming services for improved image quality.
- Surveillance systems for clearer video footage.
- Multimedia devices for enhanced visual performance.
Prior Art
There may be prior art related to intra prediction modes and image decoding techniques in the field of video coding standards like H.264 and H.265.
Frequently Updated Research
Researchers may be exploring advancements in intra prediction modes and image decoding algorithms to further improve image quality and compression efficiency.
Questions about Image Decoding
How does the CCLM mode improve image decoding accuracy?
The CCLM mode enhances accuracy by utilizing specific values for chroma blocks and incorporating neighboring samples for more precise predictions.
What are the potential applications of this image decoding method beyond video streaming?
This method can also be beneficial in surveillance systems, multimedia devices, and any application that requires high-quality image decoding.
Original Abstract Submitted
An image decoding method performed by a decoding apparatus according to the present document includes deriving a CCLM mode as an intra prediction mode of a current block, deriving a specific value for the current chroma block, deriving, based on the width and the height of the current chroma block being greater than or equal to the specific value, top neighboring chroma samples whose number is equal to the specific value of the current chroma block, and left neighboring chroma samples whose number is equal to the specific value, deriving CCLM parameters based on the top neighboring chroma samples, the left neighboring chroma samples, and down-sampled neighboring luma samples, deriving prediction samples for the current chroma block based on the CCLM parameters and the down-sampled luma samples, and generating reconstructed samples for the current chroma block based on the prediction samples, wherein the derived specific value is 2.
