Video Encoding Circuit Energy Compaction Selection
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Solution Overview
Problem
Current image processing methods for higher resolution images require significant storage capacity and transmission speed, necessitating efficient compression techniques that balance quality and efficiency.
Innovation Solution
A video encoding circuit and method that utilize a transform processor to generate transformed data using multiple processing methods, determine energy compaction, and selectively encode based on energy compaction to optimize data output, incorporating index determination logic and entropy encoding for efficient data transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If multiple processing methods are used to generate transformed data, then encoding quality is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic processing method selection where the encoding circuit adaptively chooses between first and second processing methods based on image characteristics and energy compaction analysis. This dynamic approach allows the system to optimize encoding quality for different content types while managing computational resources efficiently, resolving the contradiction between quality and complexity.
Solution Approach 2:
The patent changes processing parameters by switching between different processing methods (first and second processing methods) and adjusting the selection based on energy compaction values. This parameter-based adaptation enables the system to achieve high encoding quality when needed while reducing complexity for suitable content, effectively resolving the technical contradiction.
2Reliability
If all transformed data is encoded, then completeness is improved, but encoding speed decreases
Solution Approach 1:
The patent extracts and encodes only the essential transformed data components by selecting processing methods based on energy compaction analysis. Instead of encoding all transformed data, the system identifies and encodes only the necessary coefficients that contribute most to image quality, thereby improving encoding speed while maintaining completeness of essential information.
Solution Approach 2:
The patent applies partial action by selectively encoding only the necessary transformed data based on energy compaction thresholds. The system performs sufficient encoding to maintain quality by choosing appropriate processing methods, but avoids excessive encoding of redundant data, thus achieving the right balance between completeness and encoding speed.
3Manufacturing precision
If higher resolution images are processed, then image quality is improved, but storage capacity requirement increases
Solution Approach 1:
The patent extracts and retains only the essential image information by processing high-resolution images through multiple processing methods and selecting transformed data based on energy compaction. This extraction approach maintains the quality of high-resolution images while reducing the quantity of data that needs to be stored and transmitted, effectively resolving the contradiction between image quality and storage capacity.
4Adaptability or versatility
If multiple processing methods are used, then adaptability is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic adaptability by enabling the encoding circuit to switch between first and second processing methods based on image characteristics and energy compaction analysis. This dynamic adaptation allows the system to handle diverse image content effectively while managing device complexity through intelligent selection rather than permanently implementing all processing capabilities.
Solution Approach 2:
The patent achieves adaptability through parameter changes by adjusting the selection between processing methods based on energy compaction values and image characteristics. This parameter-based adaptation enables the system to be versatile across different image types without requiring permanently active complex processing paths, resolving the contradiction between adaptability and complexity.
Data Source
AI summary
A transform processor may process original data that includes video information by using at least one of first and second processing methods, and generates at least one of first and second transformed data. Index determination logic may determine an index satisfying a determination condition based on at least one of the first and second transformed data. Energy compaction determination logic may determine energy compaction of at least one of the first and second transformed data based on the determined index. Output selection logic may selectively output one of the first and second transformed data based on the determined energy compaction. An entropy encoder may encode data output from the output selection logic.