18612610. APPARATUS AND METHOD FOR CODING IMAGE simplified abstract (LG Electronics Inc.)
Contents
APPARATUS AND METHOD FOR CODING IMAGE
Organization Name
Inventor(s)
APPARATUS AND METHOD FOR CODING IMAGE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18612610 titled 'APPARATUS AND METHOD FOR CODING IMAGE
Simplified Explanation: The abstract describes a cross-component adaptive loop filtering procedure in image/video coding, known as CCALF, which enhances the accuracy of in-loop filtering.
Key Features and Innovation:
- Cross-component adaptive loop filtering procedure in image/video coding
- Increases accuracy of in-loop filtering
Potential Applications: This technology can be applied in various image and video coding systems to improve the quality of the output.
Problems Solved: This technology addresses the challenge of maintaining high accuracy in in-loop filtering procedures in image and video coding.
Benefits:
- Improved accuracy in in-loop filtering
- Enhanced quality of image and video output
Commercial Applications: Potential commercial applications include video streaming services, video surveillance systems, and digital image processing software.
Prior Art: Researchers can explore prior art related to in-loop filtering procedures in image and video coding to understand the evolution of this technology.
Frequently Updated Research: Stay updated on advancements in image and video coding techniques to leverage the latest innovations in in-loop filtering procedures.
Questions about Cross-Component Adaptive Loop Filtering (CCALF): 1. How does CCALF improve the accuracy of in-loop filtering in image/video coding? 2. What are the potential implications of CCALF in commercial applications?
Original Abstract Submitted
According to one embodiment of the present document, an in-loop filtering procedure in an image/video coding procedure may comprise a cross-component adaptive loop filtering procedure. CCALF, according to the present embodiment, can increase the accuracy of in-loop filtering.
