Image Decoding With Adaptive Prediction Mode Restoration
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Solution Overview
Problem
Conventional video coding standards like H.264/AVC face issues with increased data transmission due to fixed prediction mode indexes for direction and DC prediction, leading to inefficiencies and potential distortion in coded images.
Innovation Solution
Implementing an image coding method that determines multiple estimated prediction modes, including edge and DC prediction, and codes them using a short signal, reducing the amount of data needed for mode transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed prediction mode indexes are used for direction and DC prediction, then the coding structure is simple, but the data transmission volume increases and coding distortion occurs
Solution Approach 1:
The patent applies dynamics by making the prediction mode index assignment adaptive rather than fixed. The coding structure dynamically adjusts the index assignment based on the actual prediction modes used in neighboring blocks, allowing the system to optimize data transmission volume while maintaining coding simplicity through automated adaptation.
Solution Approach 2:
The patent changes the parameter of prediction mode index assignment from a fixed value to a variable that depends on the prediction modes of neighboring blocks. This parameter change enables the system to reduce data transmission volume by assigning shorter codes to more frequently occurring prediction modes while preserving the simple coding structure through automated index management.
2Device complexity
If fixed prediction mode indexes are used for direction and DC prediction, then the coding structure is simple, but coding distortion increases
Solution Approach 1:
The patent applies dynamics by making the prediction mode index assignment adaptive rather than fixed. The coding structure dynamically adjusts the index assignment based on the actual prediction modes used in neighboring blocks, allowing the system to optimize data transmission volume while maintaining coding simplicity through automated adaptation.
Solution Approach 2:
The patent changes the parameter of prediction mode index assignment from a fixed value to a variable that depends on the prediction modes of neighboring blocks. This parameter change enables the system to reduce data transmission volume by assigning shorter codes to more frequently occurring prediction modes while preserving the simple coding structure through automated index management.
3Productivity
If multiple estimated prediction modes are determined and coded using short signals, then coding efficiency increases and data volume reduces, but the coding process becomes more complex
Solution Approach 1:
The patent applies preliminary action by determining multiple estimated prediction modes in advance before actual coding. The restoration unit pre-calculates the most likely prediction modes based on neighboring blocks, so that when coding occurs, the system can quickly select from pre-determined options using short signals, thereby improving efficiency without proportionally increasing complexity.
Solution Approach 2:
The patent applies self-service by enabling the decoding system to automatically determine and select prediction modes based on pre-established estimation rules. The restoration unit uses the prediction modes of previously decoded neighboring blocks to self-determine the current block's prediction mode, reducing the need for complex external control while improving coding efficiency through automated short-signal selection.
Data Source
Figure 1A~1B
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AI summary
An image decoding method includes: restoring a selected prediction mode used in prediction at a time of coding; and decoding a current block included in coded image data to generate a decoded block, according to the prediction based on the selected prediction mode. The restoring includes: determining a first estimated prediction mode; determining a second estimated prediction mode different from the first estimated prediction mode; and restoring the selected prediction mode based on the mode information, the first estimated prediction mode, and the second estimated prediction mode.