Chroma Prediction Filter Selection for Coding Efficiency

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Solution Overview

Problem

Existing image processing technologies face challenges in maintaining coding efficiency when applying cross-component linear prediction methods to chroma formats other than 420, leading to reduced performance in formats like 422 and 444.

Innovation Solution

An image processing device and method that predict a chroma component's pixel value by linear prediction from a reference image of a luma component, using a filter selected based on the chroma component's pixel location and color format information, thereby generating a prediction image for the chroma component.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If multi-filter mode is applied for cross-component linear prediction, then prediction performance is improved for 420 chroma format, but coding efficiency is reduced for other chroma formats (422, 444)

Engineering Contradiction:
Improveprediction performanceVSAvoidcoding efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent changes the parameter of filter selection based on the chroma format type. Different filtering modes are applied depending on whether the chroma format is 420, 422, or 444. This allows the system to optimize prediction performance for each specific format while avoiding the efficiency reduction that would occur if multi-filter mode were universally applied.

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The patent applies different prediction modes locally according to the chroma format. Instead of using a single multi-filter mode for all formats, the system selectively applies filtering only where beneficial (420 format) and uses non-filtered modes for other formats (422, 444), thereby maintaining coding efficiency while preserving prediction performance where needed.

Inventive Principle:
Principle #3Local quality

2Manufacturing precision

If chroma format is changed from 420 to other formats (422, 444), then color quality is improved, but existing multi-filter prediction methods become inapplicable leading to reduced coding efficiency

Engineering Contradiction:
Improvecolor qualityVSAvoidcoding efficiency
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The patent introduces dynamic adaptability by making the prediction mode dependent on the chroma format. The system automatically adjusts its behavior based on the input format, enabling it to handle multiple chroma formats (420, 422, 444) with appropriate prediction strategies for each, thus maintaining both color quality and coding efficiency across different formats.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent creates a universal prediction framework that can handle multiple chroma formats through a single adaptive mechanism. By incorporating format detection and conditional mode selection, the system achieves multi-functionality, supporting various chroma formats while maintaining optimal coding efficiency for each.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250159208A1Image processing device and method
Publication Date: 2025.05.15 SONY GROUP CORP
  • US20250159208A1 patent drawing
  • US20250159208A1 patent drawing
  • US20250159208A1 patent drawing

AI summary

The present disclosure relates to an image processing device and method that allow reduction in coding efficiency to be suppressed. A pixel value of a chroma component is predicted by linear prediction from a pixel value of a reference image of a luma component whose pixel location is changed by using a filter, and a prediction image of the chroma component is generated. A chroma component of encoded data in which an image is encoded is decoded by using the generated prediction image. The filter is selected on a basis of information regarding a pixel location of the chroma component and information regarding a color format. The present disclosure is applicable, for example, to an image processing device, an image encoding device, an image decoding device, or the like.