Intra Prediction Reference Sample Adjustment for Video Encoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing video encoding and decoding methods face challenges in achieving high prediction accuracy and image quality while maintaining low data rates, particularly due to the limitations in bandwidth and the need for efficient compression of intra prediction methods.
Innovation Solution
An intra prediction method that adjusts the reference sample based on the distance between the current sample and the reference sample, using adjacent samples and determining the reference sample according to the intra mode of the current block, to improve prediction accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the number of prediction methods is increased to improve prediction accuracy, then prediction accuracy is improved, but the amount of encoding information for indicating the prediction method is increased
Solution Approach 1:
The patent changes the parameters of the reference sample itself rather than increasing the number of prediction methods. It adjusts the reference sample values based on gradient calculations and distance metrics, allowing accurate prediction with fewer prediction method options, thus reducing encoding information overhead while maintaining high prediction accuracy
Solution Approach 2:
The patent applies local quality adjustment by modifying reference sample values based on their specific positions and distances to the current block. Different reference samples are adjusted differently using gradient information, allowing precise local adaptation without requiring multiple global prediction methods
2Loss of information
If a data unit size is increased to reduce encoding information, then encoding information amount is decreased, but prediction accuracy is decreased
Solution Approach 1:
The patent compensates for larger block sizes by dynamically adjusting reference sample parameters using gradient calculations. This allows maintaining high prediction accuracy even with larger data units by adapting the reference samples to better match the current block characteristics
Solution Approach 2:
The patent performs preliminary adjustment of reference samples before prediction using gradient information and distance calculations. This preliminary action ensures that even large blocks have accurately adapted reference samples, maintaining prediction accuracy without requiring smaller block divisions
Data Source
AI summary
Provided is an image predicting method including: obtaining a plurality of adjacent samples located adjacent to a current block; determining an adjacent sample as a reference sample to be referred to by a current sample, the adjacent sample being from among the plurality of adjacent samples and being indicated by a direction of an intra mode of the current block; and adjusting a sample value of the reference sample according to a reference distance indicating a distance between the reference sample and the current sample, and determining a prediction value of the current sample based on the adjusted sample value of the reference sample.


