18097625. IMAGE CODING METHOD ON BASIS OF TRANSFORMATION AND DEVICE THEREFOR simplified abstract (LG Electronics Inc.)
Contents
IMAGE CODING METHOD ON BASIS OF TRANSFORMATION AND DEVICE THEREFOR
Organization Name
Inventor(s)
IMAGE CODING METHOD ON BASIS OF TRANSFORMATION AND DEVICE THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 18097625 titled 'IMAGE CODING METHOD ON BASIS OF TRANSFORMATION AND DEVICE THEREFOR
Simplified Explanation
The image decoding method described in this patent application involves the following steps:
- Deriving quantized transform coefficients for a specific block from a bitstream.
- Performing inverse quantization on the quantized transform coefficients to obtain transform coefficients.
- Deriving residual samples for the block using reduced inverse transform based on the transform coefficients.
- Generating a reconstructed picture by combining the residual samples with prediction samples for the block.
Key points about this patent/innovation:
- The method uses a non-square reduced inverse transform matrix for the inverse transform process.
- The reduced inverse transform matrix has fewer columns than rows.
- This method aims to improve the efficiency and accuracy of image decoding.
Potential applications of this technology:
- Video compression and decompression algorithms.
- Image and video processing software.
- Multimedia streaming and broadcasting systems.
Problems solved by this technology:
- Enhances the decoding process by using a non-square reduced inverse transform matrix.
- Improves the accuracy of image reconstruction.
- Increases the efficiency of image decoding algorithms.
Benefits of this technology:
- Higher quality reconstructed images.
- Faster and more efficient image decoding.
- Reduced storage and bandwidth requirements for multimedia applications.
Original Abstract Submitted
An image decoding method performed by means of a decoding device according to the present invention comprises the steps of: deriving quantized transform coefficients with respect to a target block from a bitstream; performing inverse quantization with respect to the quantized transform coefficients with respect to the target block and deriving transform coefficients; deriving residual samples with respect to the target block on the basis of reduced inverse transform with respect to the transform coefficients; and generating a reconstructed picture on the basis of the residual samples with respect to the target block and prediction samples with respect to the target block. The reduced inverse transform is performed on the basis of a reduced inverse transform matrix. The reduced inverse transform matrix is a non-square matrix of which the number of columns is smaller than the number of rows.
