Cross-component-based correction for intra predictor of chroma block
By correcting chroma prediction values using a cross-component model based on luma samples, the method enhances encoding efficiency and image quality in video data compression, addressing the challenges of increasing image sizes and frame rates.
Patent Information
- Application Number
- PCT/KR2025/005249
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-05-08
- Filing Date
- 2025-04-17
- Publication Date
- 2025-11-13
AI Technical Summary
Existing video compression technologies struggle to efficiently encode and decode video data with increasing image sizes, resolutions, and frame rates, necessitating improved encoding efficiency and image quality, particularly in handling chroma blocks.
A method is proposed to correct chroma prediction values using a cross-component model based on the correlation between luma and chroma samples, involving generating first and second chroma prediction values, deriving a weighted average, and encoding residual data to enhance encoding efficiency.
This approach improves encoding efficiency and image quality by leveraging the correlation between luma and chroma components, optimizing chroma block prediction in video data compression.