Lg electronics inc. (20240244233). TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE simplified abstract
Contents
TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE
Organization Name
Inventor(s)
TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240244233 titled 'TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE
The image decoding method described in the patent application involves several steps:
- Deriving transform coefficients through dequantization based on quantized transform coefficients for the target block.
- Deriving modified transform coefficients based on an inverse reduced secondary transform (RST) for the transform coefficients.
- Deriving residual samples for the target block based on an inverse primary transform for the modified transform coefficients.
- Generating reconstructed samples based on the residual samples and prediction samples derived from an intra prediction mode for the target block.
Key Features and Innovation:
- Use of an inverse reduced secondary transform (RST) for deriving modified transform coefficients.
- Generation of reconstructed samples based on residual samples and prediction samples.
- Mapping relationship between intra prediction modes and transform sets for selecting transform kernel matrices.
Potential Applications:
- Video compression and decoding technologies.
- Image processing applications.
- Multimedia systems and devices.
Problems Solved:
- Efficient image decoding process.
- Improved compression and decompression of images.
- Enhanced video quality and resolution.
Benefits:
- Higher quality reconstructed images.
- Reduced data size for storage and transmission.
- Improved overall performance of image and video processing systems.
Commercial Applications:
- Video streaming services.
- Digital cameras and camcorders.
- Video conferencing systems.
Questions about the technology: 1. How does the use of an inverse reduced secondary transform (RST) improve image decoding efficiency? 2. What are the potential implications of the mapping relationship between intra prediction modes and transform sets in terms of image quality and compression efficiency?
Original Abstract Submitted
an image decoding method according to the present disclosure includes deriving transform coefficients through dequantization based on the quantized transform coefficients for the target block; deriving modified transform coefficients based on an inverse reduced secondary transform (rst) for the transform coefficients; deriving residual samples for the target block based on an inverse primary transform for the modified transform coefficients; and generating a reconstructed samples based on the residual samples, and prediction samples derived based on an intra prediction mode for the target block, wherein the inverse rst is performed based on a transform kernel matrix selected from a transform set including a plurality of transform kernel matrices, the transform set is determined based on a mapping relationship according to the intra prediction mode applied to the target block, and a plurality of intra prediction modes including the intra prediction mode of the target block are mapped to one transform set.
