Intra Prediction Reference Line Filtering for Image Compression
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Solution Overview
Problem
The increasing resolution and quality of high-definition and ultra-high-definition images result in higher data volumes, leading to increased costs for transmission and storage, necessitating more efficient image encoding and decoding techniques.
Innovation Solution
An image encoding and decoding method utilizing intra prediction with multiple Most Probable Mode (MPM) lists, constructing N MPM lists for a current block, deriving and encoding/decoding the intra prediction mode based on these lists, and employing variable length codes to enhance compression efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If image resolution and quality are increased, then image quality is improved, but data volume increases leading to higher transmission and storage costs
Solution Approach 1:
The image is divided into blocks, and the Most Probable Mode (MPM) technique is applied to predict pixel values within each block based on neighboring blocks. This segmentation approach allows efficient compression by processing and predicting local regions independently, reducing the overall data volume while maintaining image quality.
Solution Approach 2:
The MPM list is constructed in advance by collecting candidate prediction modes from neighboring blocks before performing the actual prediction. This preliminary action of gathering and preparing prediction candidates enables efficient intra-prediction to be performed, reducing data volume without sacrificing quality.
2Quantity of substance
If conventional image compression techniques are used, then data volume is reduced, but compression efficiency is insufficient for high-resolution and high-quality images
Solution Approach 1:
The patent applies different prediction strategies to different blocks based on their characteristics. By analyzing neighboring blocks and constructing MPM lists specific to each block's context, the method adapts the prediction quality to local image characteristics, achieving higher compression efficiency while maintaining overall image quality.
Solution Approach 2:
The MPM list is dynamically constructed and updated based on the prediction results and residuals from neighboring blocks. This feedback mechanism allows the prediction model to adapt to the specific content and characteristics of each block, improving compression efficiency for high-resolution images.
3Productivity
If multiple MPM lists are constructed for intra prediction, then compression efficiency is improved, but device complexity increases
Solution Approach 1:
The MPM list construction mechanism is designed to be universally applicable across different block types and image regions. By using a standardized approach to collect and process neighboring block information, the system achieves high compression efficiency without requiring complex block-specific handling, thus managing device complexity.
Solution Approach 2:
The MPM list is constructed by nesting the collection of candidate modes from multiple neighboring blocks into a single unified list structure. This nested approach organizes the complexity of processing multiple sources of prediction candidates into a manageable hierarchical structure, improving compression efficiency while controlling implementation complexity.
Data Source
AI summary
An image decoding method performed by an image decoding apparatus, the method includes selecting one of a plurality of reference sample lines neighboring a current block, deriving a reference sample line based on the selected reference sample line, filtering the reference sample line, and deriving prediction samples for the current block based on the filtered reference sample line, wherein the filtering of the reference sample line includes determining whether a filtering is performed based on an intra prediction mode of the current block, a size of the current block, and a position of the selected reference sample line, wherein the reference sample line is selected based on whether a boundary of the current block is a boundary of a coding tree block (CTB), wherein based on the boundary of the current block being the boundary of the CTB, a first upper reference sample line adjacent to the current block is selected, wherein the deriving of the reference sample line includes determining availability for a reference sample, and wherein an unavailable reference sample is replaced based on an available reference sample.