View source for Lg electronics inc. (20240137512). TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE THEREFOR simplified abstract

=TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE THEREFOR=


==Organization Name==

[[:Category:lg electronics inc.|lg electronics inc.]]


[[Category:lg electronics inc.]]

==Inventor(s)==

[[:Category:Moonmo Koo of Seoul (KR)|Moonmo Koo of Seoul (KR)]][[Category:Moonmo Koo of Seoul (KR)]]

[[:Category:Jaehyun Lim of Seoul (KR)|Jaehyun Lim of Seoul (KR)]][[Category:Jaehyun Lim of Seoul (KR)]]

[[:Category:Junghak Nam of Seoul (KR)|Junghak Nam of Seoul (KR)]][[Category:Junghak Nam of Seoul (KR)]]

[[:Category:Seunghwan Kim of Seoul (KR)|Seunghwan Kim of Seoul (KR)]][[Category:Seunghwan Kim of Seoul (KR)]]

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


This abstract first appeared for US patent application 20240137512 titled 'TRANSFORM-BASED IMAGE CODING METHOD AND DEVICE THEREFOR

==Simplified Explanation==

The image decoding method described in the abstract involves performing inverse first-order transform and inverse non-separable transform on a residual sample. The inverse non-separable transform is based on a transform index indicating a predetermined transform kernel matrix, while the inverse first-order transform is based on a multiple transform selection (MTS) index indicating MTS for horizontal and vertical transform kernels. A syntax element bin string for the transform index is derived from first context information when the tree type for a split structure of a target block is not a single tree type, and from second context information when the tree type is the single tree type.

* Inverse first-order transform and inverse non-separable transform are performed on a residual sample.
* Transform index and MTS index are used to determine the transform kernels for the decoding process.
* Syntax element bin string is derived based on context information to optimize the decoding process.

== Potential Applications ==
This technology can be applied in:
* Image and video decoding systems
* Multimedia compression algorithms
* Signal processing applications

== Problems Solved ==
This technology helps in:
* Efficient decoding of images and videos
* Reducing data loss during compression
* Improving image quality in multimedia applications

== Benefits ==
The benefits of this technology include:
* Enhanced image and video quality
* Faster decoding process
* Improved compression efficiency

== Potential Commercial Applications ==
This technology can be utilized in:
* Media streaming services
* Video conferencing systems
* Digital image processing software

== Possible Prior Art ==
One possible prior art for this technology could be the use of similar transform techniques in image and video compression standards like JPEG and MPEG.

=== Unanswered Questions ===

=== How does this technology compare to existing image decoding methods in terms of efficiency and quality? ===
This article does not provide a direct comparison with existing image decoding methods, so it is unclear how this technology stacks up against current practices. 

=== What are the potential limitations or drawbacks of implementing this image decoding method in real-world applications? ===
The article does not address any potential limitations or drawbacks of implementing this image decoding method, leaving uncertainty about its practical implications and challenges.


==Original Abstract Submitted==

an image decoding method according to the present document comprises a step for performing inverse first-order transform and inverse non-separable transform on a residual sample. the inverse non-separable transform is performed on the basis of a transform index indicating a predetermined transform kernel matrix, the inverse first-order transform is performed on the basis of a multiple transform selection (mts) index indicating mts for a horizontal transform kernel and a vertical transform kernel, and a syntax element bin string for the transform index is derived on the basis of first context information when a tree type for a split structure of a target block is not a single tree type and is derived on the basis of second context information when the tree type is the single tree type.



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