Video Block Decoding with Intra-Prediction Error Correction
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Solution Overview
Problem
Existing video encoding technologies, such as HEVC, face limitations in intra-prediction accuracy, particularly for pixels further away from reference pixels, leading to increased prediction errors and reduced encoding efficiency, especially in complex regions and planar modes.
Innovation Solution
The method involves calculating differences between current and previous pixels in specific pixel lines, applying weights based on pixel direction, and using additional prediction candidates to enhance intra-prediction accuracy, thereby improving encoding efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If intra-prediction uses boundary pixels of neighbor blocks, then encoding complexity is reduced, but prediction accuracy decreases for pixels farther from reference pixels
Solution Approach 1:
The patent divides the prediction process into multiple stages: first generating initial prediction values from boundary pixels, then calculating prediction errors, and finally correcting these errors using additional reference pixels. This segmentation allows the system to maintain low initial complexity while improving accuracy through incremental refinement.
Solution Approach 2:
The patent extends the prediction from one-dimensional boundary pixel references to two-dimensional reference regions by incorporating additional reference pixels from multiple directions and distances. This dimensional expansion provides more reference information without significantly increasing encoding complexity.
2Ease of operation
If intra-prediction uses average value of pixels around current pixel, then encoding simplicity is maintained, but prediction accuracy decreases in complicated regions
Solution Approach 1:
The patent dynamically adapts the prediction method based on regional characteristics. For complicated regions, it switches from simple average-value DC mode to a more sophisticated approach using multiple reference pixels and error correction, while maintaining simplicity in uniform regions.
Solution Approach 2:
The patent changes the prediction parameters (number of reference pixels, reference pixel selection, weighting factors) based on the complexity of the region being encoded. This allows the system to optimize between simplicity and accuracy by adjusting parameters according to local image characteristics.
3Measurement precision
If additional prediction candidates and weighted corrections are used, then prediction accuracy increases, but encoding complexity increases
Solution Approach 1:
The patent applies additional prediction candidates and weighted corrections only partially - specifically for regions where the initial prediction accuracy is insufficient. This selective application increases accuracy where needed while avoiding unnecessary complexity in regions where simple prediction suffices.
Solution Approach 2:
The patent uses a feedback mechanism where prediction errors are calculated and used to determine whether additional correction steps are needed. This feedback loop allows the system to adaptively increase complexity only when the error magnitude indicates that simpler methods are insufficient.
Data Source
AI summary
A method for decoding an image based on an intra prediction, comprising: obtaining a first prediction pixel of a first region in a current block by using a neighboring pixel adjacent to the current block; obtaining a second prediction pixel of a second region in the current block by using the first prediction pixel of the first region; and decoding the current block based on the first and the second prediction pixels.