Intra Prediction Partitioning for Subblock Image Encoding
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Solution Overview
Problem
Existing image encoding/decoding methods require performance improvements, particularly in intra-prediction and subblock-wise partitioning to enhance encoding/decoding efficiency and accuracy.
Innovation Solution
A method and apparatus for image encoding/decoding that configures a candidate group of partition types for a current block, determines a partition type based on a candidate index, and performs intra-prediction in units of the current block, allowing for subblock-wise intra-prediction and efficient coding order.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subblock-wise intra-prediction is implemented, then prediction accuracy is improved, but device complexity increases
Solution Approach 1:
The current block is divided into multiple subblocks, and intra-prediction is performed separately for each subblock. This segmentation allows the prediction to capture local variations in different regions of the block, thereby improving prediction accuracy while managing complexity through structured subdivision.
Solution Approach 2:
Different intra-prediction modes are applied to different subblocks based on their local characteristics. Each subblock can have its own prediction mode selected from a candidate group, allowing the system to adapt to local image features and improve overall prediction accuracy.
2Measurement precision
If multiple partition types are configured in candidate group, then prediction accuracy is improved, but encoding overhead increases
Solution Approach 1:
Instead of considering all possible partition types, a limited candidate group of partition types is configured. This partial approach provides sufficient prediction accuracy for most cases while significantly reducing the encoding overhead associated with signaling and processing numerous partition type options.
Solution Approach 2:
The candidate group of partition types is dynamically configured based on block characteristics such as size and shape. By adapting the candidate group configuration to specific block parameters, the system optimizes the balance between prediction accuracy and encoding efficiency for different scenarios.
Data Source
AI summary
The objective of the present invention is to provide a method and an apparatus for intra-prediction. In addition, the objective of the present invention is to provide a method and an apparatus for intra-prediction on a subblock unit basis. Furthermore, the objective of the present invention is to provide a method and an apparatus for determining a division and an encoding order of subblock units.