TRANSFORMATION-BASED IMAGE CODING METHOD AND DEVICE THEREFOR

Organization Name

Inventor(s)

TRANSFORMATION-BASED IMAGE CODING METHOD AND DEVICE THEREFOR - A simplified explanation of the abstract

This abstract first appeared for US patent application 18735704 titled 'TRANSFORMATION-BASED IMAGE CODING METHOD AND DEVICE THEREFOR

The image decoding method described in the abstract involves determining the presence of an effective coefficient in a specific area of a block, parsing an MTS index from a bitstream, and deriving residual samples for the block using a transform kernel based on the MTS index.

Determining presence of effective coefficient in a block
Parsing MTS index from a bitstream
Deriving residual samples using a transform kernel
MTS index parsed based on presence of effective coefficient in a scan sub-block
Transform coefficients in the first area used to derive residual samples

Potential Applications: - Video compression technology - Image processing algorithms - Multimedia data transmission systems

Problems Solved: - Efficient image decoding process - Improved compression ratios - Enhanced data transmission speeds

Benefits: - Higher quality image decoding - Reduced data size for storage and transmission - Faster processing times for multimedia content

Commercial Applications: Title: Advanced Image Decoding Technology for Multimedia Systems This technology can be used in: - Video streaming services - Digital media production - Surveillance systems

Prior Art: Research on transform kernels in image processing Studies on efficient coefficient parsing in video compression

Frequently Updated Research: Ongoing developments in transform kernel optimization Research on improving data transmission efficiency in multimedia systems

Questions about Image Decoding Technology: 1. How does the presence of effective coefficients impact the decoding process? 2. What are the key advantages of using transform kernels in image decoding?

Original Abstract Submitted

An image decoding method according to the present document comprises the steps of: determining whether or not an effective coefficient is present in a second area not including an upper-left first area of a current block; parsing an MTS index from a bitstream on the basis that the effective coefficient is not present in the second area; and deriving residual samples for the current block by applying a transform kernel, which is derived on the basis of the MTS index, to transform coefficients in the first area, wherein the MTS index can be parsed on the basis that the effective coefficient, which is present in a scan sub-block which is scanned for the effective coefficient, is not present in the second area.