18388108. IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM AND DEVICE THEREFOR simplified abstract (LG ELECTRONICS INC.)

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IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM AND DEVICE THEREFOR

Organization Name

LG ELECTRONICS INC.

Inventor(s)

Moonmo Koo of Seoul (KR)

Jaehyun Lim of Seoul (KR)

Seunghwan Kim of Seoul (KR)

Mehdi Salehifar of Seoul (KR)

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

This abstract first appeared for US patent application 18388108 titled 'IMAGE CODING METHOD BASED ON SECONDARY TRANSFORM AND DEVICE THEREFOR

Simplified Explanation

The image decoding method described in the abstract involves deriving transform coefficients, modifying them based on inverse reduced secondary transform (RST), and generating a reconstructed picture using the modified coefficients.

  • Deriving transform coefficients through inverse quantization for a target block
  • Modifying transform coefficients based on inverse RST of the coefficients
  • Generating a reconstructed picture using residual samples and an inverse primary transform
  • Deriving 16 modified transform coefficients by applying a transform kernel matrix to 8 coefficients in a 4x4 region of the target block

Potential Applications

This technology can be applied in image and video decoding systems, multimedia applications, and digital signal processing.

Problems Solved

This technology helps improve image quality, reduce compression artifacts, and enhance the efficiency of image decoding processes.

Benefits

The benefits of this technology include higher quality reconstructed images, improved compression efficiency, and better overall performance in image decoding applications.

Potential Commercial Applications

Potential commercial applications of this technology include video streaming services, digital media players, image editing software, and video conferencing systems.

Possible Prior Art

One possible prior art for this technology could be the use of similar transform coefficient modification techniques in image and video processing algorithms.

Unanswered Questions

How does this method compare to existing image decoding techniques in terms of computational complexity?

The abstract does not provide information on the computational complexity of this method compared to existing techniques.

Are there any specific hardware requirements for implementing this image decoding method?

The abstract does not mention any specific hardware requirements for implementing this method.


Original Abstract Submitted

An image decoding method according to the present specification comprises the steps of: deriving transform coefficients through inverse quantization on the basis of quantized transform coefficient for a target block; deriving modified transform coefficients on the basis of inverse reduced secondary transform (RST) of the transform coefficients; and generating a reconstructed picture on the basis of residual samples for the target block on the basis of an inverse primary transform of the modified transform coefficients, wherein the step of deriving the modified transform coefficients is characterized in deriving 16 modified transform coefficients by applying a transform kernel matrix to 8 transform coefficients in a 4×4 region of the target block.