Intra Prediction Reference Sample Derivation for Image Decoding Efficiency
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Solution Overview
Problem
The increasing demand for high-resolution and high-quality images has led to a need for more efficient image compression techniques to reduce transmission and storage costs.
Innovation Solution
The method involves deriving an intra-prediction mode for a current block, obtaining neighboring samples, and generating reference samples based on these neighbors to improve prediction accuracy and coding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional image compression techniques are used for high-resolution images, then transmission and storage costs increase, but image quality and resolution requirements cannot be met
Solution Approach 1:
The patent extracts and transmits only the essential information - specifically the prediction mode and difference values rather than complete pixel data. By separating the prediction component (derived from neighboring blocks) from the residual information, the system transmits minimal data while reconstructing high-quality images at the receiver端
Solution Approach 2:
The patent performs preliminary prediction using neighboring block information before actual transmission. The receiver uses previously decoded neighboring blocks to generate prediction samples, so only the correction (difference) values need to be transmitted. This preliminary action at the receiver端 reduces the amount of data that must be transmitted and stored
2Measurement precision
If more bits are transmitted for high-resolution images, then image quality improves, but transmission cost increases
Solution Approach 1:
The patent creates a copy of the neighboring block information locally at the receiver端 to serve as a reference for predicting the current block. Instead of transmitting redundant reference data, the system uses locally available copied information from previously decoded blocks, reducing transmission volume while maintaining prediction accuracy
Solution Approach 2:
The patent segments the image data into independently decodable blocks and further divides the prediction process into mode selection and difference transmission. Each block is processed separately using its own neighboring references, allowing parallel processing and reducing overall data requirements through efficient block-level optimization
3Measurement precision
If intra-prediction is performed using multiple neighboring samples, then prediction accuracy improves, but computational complexity increases
Solution Approach 1:
The patent applies different processing approaches to different regions: using multiple neighboring samples (left, upper, and upper-right) specifically for the upper-right block while using simpler prediction for other blocks. This localized application of complex prediction only where geometrically necessary reduces overall computational complexity while maintaining accuracy where needed
Data Source
AI summary
An image decoding method performed by a decoding apparatus according to the present invention comprises: a step of deriving an intra prediction mode for a current block; a step of deriving upper neighboring samples of a plurality of rows for the current block, and left neighboring samples of a plurality of columns; a step of deriving one row of upper reference samples on the basis of the upper neighboring samples; a step of deriving one column of left reference samples on the basis of the left neighboring samples; and a step of generating a prediction sample for the current block by using at least one of the upper reference samples and the left reference samples in accordance with the intra prediction mode.