Intra Image Prediction Using Multiple Reference Pixel Lines
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional intra prediction techniques in image encoding/decoding suffer from inefficiencies due to the use of single reference pixel lines and interpolation schemes, leading to errors and the need to encode significant information about prediction modes, as well as discontinuities between prediction blocks and surrounding regions.
Innovation Solution
The method involves selecting multiple reference pixel lines and interpolation schemes adaptively, deriving predicted values, and filtering the prediction blocks to improve intra prediction efficiency and reduce discontinuities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If conventional intra prediction uses single reference pixel line and interpolation scheme, then device complexity is reduced, but manufacturing precision deteriorates due to prediction errors and discontinuities
Solution Approach 1:
The patent segments the reference pixel selection process by dividing reference pixels into multiple groups based on their positions relative to the current block. Different interpolation schemes are applied to different groups of reference pixels, allowing selective use of complex processing only where beneficial for prediction accuracy while maintaining simplicity in other areas.
Solution Approach 2:
The patent introduces dynamic selection of reference pixel lines and interpolation schemes based on the characteristics of the current block and surrounding regions. The system adaptively determines which reference pixel line to use and which interpolation scheme to apply, optimizing prediction accuracy for each block while managing complexity through conditional logic rather than universal complexity.
2Manufacturing precision
If multiple reference pixel lines are used for intra prediction, then manufacturing precision improves by reducing prediction errors, but device complexity increases due to multiple selection options
Solution Approach 1:
The patent segments reference pixels into multiple lines and establishes specific selection criteria for determining which line to use. By dividing the reference pixel space and creating structured selection rules, the patent manages the complexity of multiple lines through organization and systematic decision-making rather than arbitrary choices.
Solution Approach 2:
The patent performs preliminary analysis of reference pixel line characteristics before selecting the optimal line for prediction. By pre-evaluating reference pixels and establishing selection criteria in advance, the system reduces the complexity of real-time decision-making while maintaining high prediction accuracy through informed selection.
3Manufacturing precision
If adaptive interpolation schemes are selected for multiple reference pixel lines, then manufacturing precision improves by reducing discontinuities, but device complexity increases due to multiple interpolation schemes
Solution Approach 1:
The patent applies different interpolation schemes to different local regions or groups of reference pixels based on their specific characteristics. Rather than using a single interpolation scheme universally, the system selects appropriate schemes locally, improving prediction accuracy for each region while managing overall complexity through localized processing.
Solution Approach 2:
The patent introduces dynamic selection of interpolation schemes based on the characteristics of reference pixels and current blocks. The system adaptively determines which interpolation scheme to apply in each context, optimizing prediction accuracy while managing complexity through conditional selection rather than universal application of all schemes.
4Productivity
If multiple reference pixel lines and adaptive interpolation are used, then productivity improves by enhancing compression efficiency, but device complexity increases due to filtering and selection processes
Solution Approach 1:
The patent performs preliminary filtering and processing of reference pixels before they are used in prediction. By pre-processing reference pixel data and organizing it into structured groups, the system reduces the complexity of subsequent prediction operations while improving compression efficiency through better-quality prediction data.
Solution Approach 2:
The patent segments the filtering process to apply different filtering operations to different groups of reference pixels based on their characteristics. This selective filtering approach improves compression efficiency by processing only necessary data with appropriate filtering while reducing overall complexity compared to universal filtering of all reference pixels.
Data Source
AI summary
Disclosed are an image encoding/decoding method and apparatus. The method and apparatus select at least one reference pixel line from among multiple reference pixel lines and derive a predicted value of a pixel within a current block by using the value of at least one pixel within the selected reference pixel line(s). Alternatively, the method and apparatus derive an intra prediction mode of a reconstructed pixel region on the basis of a reference pixel region of at least one reconstructed pixel region, derive an intra prediction mode of a current block on the basis of the derived intra prediction mode of the reconstructed pixel region, obtain an intra prediction block of the current block by using the derived intra prediction mode, and reconstruct the current block by summing the obtained intra prediction block and a residual block of the current block.