18442607. TRANSFORM-BASED IMAGE CODING METHOD AND APPARATUS THEREFOR simplified abstract (LG ELECTRONICS INC.)
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TRANSFORM-BASED IMAGE CODING METHOD AND APPARATUS THEREFOR
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TRANSFORM-BASED IMAGE CODING METHOD AND APPARATUS THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18442607 titled 'TRANSFORM-BASED IMAGE CODING METHOD AND APPARATUS THEREFOR
The image decoding method described in the abstract involves deriving a transform coefficient for a current block based on residual information, applying at least one of LFNST and MTS to derive a residual sample from the transform coefficient, and generating a reconstructed picture based on the residual samples. LFNST is performed using an LFNST index indicating an LFNST kernel, MTS is performed using an MTS index indicating an MTS kernel, and the LFNST index may be parsed before the MTS index.
- LFNST and MTS are utilized in the image decoding process to improve the quality of the reconstructed picture.
- The LFNST index indicates the LFNST kernel used for transforming the coefficients, while the MTS index indicates the MTS kernel applied.
- Parsing the LFNST index before the MTS index allows for efficient processing of the transform coefficients and residual samples.
Potential Applications: - Video compression and transmission technologies - Image processing applications in digital cameras and smartphones
Problems Solved: - Enhancing image quality in compressed video streams - Optimizing the decoding process for efficient data transmission
Benefits: - Improved image quality and clarity - Reduced data transmission bandwidth requirements
Commercial Applications: Title: Advanced Image Decoding Technology for Video Compression This technology can be applied in video streaming services, surveillance systems, and multimedia applications to enhance image quality and optimize data transmission.
Questions about Image Decoding Technology: 1. How does the use of LFNST and MTS improve image decoding efficiency? 2. What are the potential implications of this technology in the field of video compression and transmission?
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.
