Intra Prediction Mode Derivation Using Adaptive MPM Lists
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Solution Overview
Problem
Existing image encoding/decoding technologies face challenges in accurately predicting pixel values for high-resolution and high-definition images, particularly in determining the Most Probable Mode (MPM) for intra prediction, which affects encoding/decoding efficiency.
Innovation Solution
The method involves deriving an intra prediction mode for a target block using a Most Probable Mode (MPM) list configured with neighbor blocks, including temporal and spatial neighbor blocks, and considering factors like block type, color component, size, and shape, to enhance prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If intra prediction mode is derived using traditional methods, then encoding/decoding can be performed, but prediction accuracy is insufficient for high-resolution and high-definition images
Solution Approach 1:
The patent applies preliminary action by configuring the MPM list in advance using temporal and spatial neighbor block information before performing intra prediction. The decoding apparatus derives the MPM list based on neighbor block types, colors, and directions, preparing probable modes beforehand to improve prediction accuracy without significantly increasing decoding complexity
Solution Approach 2:
The patent changes parameters by introducing multiple factors for MPM list configuration including block type (intra/inter), color component (luma/chroma), block size, and shape. These parameter changes enable more accurate prediction mode selection tailored to different block characteristics, resolving the contradiction between accuracy and efficiency
2Device complexity
If MPM list is configured using only spatial neighbor blocks, then decoding complexity is reduced, but prediction accuracy deteriorates for high-resolution images
Solution Approach 1:
The patent merges spatial and temporal neighbor block information to configure the MPM list. By combining both spatial adjacency information and temporal reference information, the system achieves higher prediction accuracy without proportionally increasing decoding complexity, as the merged information is processed through a unified MPM list configuration mechanism
Solution Approach 2:
The MPM list configuration mechanism serves multiple functions: it utilizes both spatial and temporal neighbor information, accommodates different block types and colors, and adapts to various block sizes and shapes. This multi-functional approach maintains reasonable decoding complexity while significantly improving prediction accuracy for high-resolution images
3Measurement precision
If neighbor block information is extensively used for MPM list configuration, then prediction accuracy improves, but computational complexity increases
Solution Approach 1:
The patent extracts only the most relevant features from neighbor blocks for MPM list configuration, specifically block type, color component, and directional information. By extracting only these essential features rather than processing all neighbor block data, the system achieves improved prediction accuracy while keeping computational complexity manageable
Data Source
AI summary
Disclosed herein are a decoding method and apparatus and an encoding method and apparatus for deriving an intra-prediction mode. An intra-prediction mode may be derived using a method for deriving an intra-prediction mode based on a neighbor block of the target block, a method for deriving an intra-prediction mode using signaling of the intra-prediction mode of the target block, or a method for deriving an adaptive intra-prediction mode based on the type of a target slice. An MPM list may be used to derive the intra-prediction mode, and a temporal neighbor block or the like may be used to configure the MPM list.