Additive Iterative Compression Rate Control for OLED Stress Data
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Solution Overview
Problem
Existing rate control methods for OLED displays require a large number of iterations to determine sufficient compression, leading to inefficiencies in memory usage and increased computational burden, as they struggle to adjust precision effectively to fit compressed data within the buffer.
Innovation Solution
A method and system for rate control that involves decompressing stress data, adding additional stress data, and encoding it at varying precision levels to fit within the buffer, using a processor to determine the optimal precision levels based on current and target buffer sizes, and incorporating dithering to achieve efficient compression in fewer iterations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a log-search rate control method is used to determine sufficient compression, then the compressed data can fit in the buffer, but it requires six iterations or more before determining the sufficient amount of compression
Solution Approach 1:
The patent performs preliminary actions by decompressing the compressed stress data to obtain reconstructed stress data before encoding. This preliminary decompression and analysis allows the system to predict an acceptable precision level that will achieve sufficient compression in fewer iterations, rather than relying on multiple trial iterations of the log-search method.
Solution Approach 2:
The patent replaces the mechanical iterative log-search rate control system with a predictive precision determination system. Instead of mechanically iterating through multiple compression attempts, the system uses a formula-based approach that calculates the acceptable precision level directly by considering the size of compressed data, buffer size, and characteristics of additional stress data, thereby substituting iterative mechanical processes with a more efficient computational method.
2Reliability
If multiple iterations are performed to determine sufficient compression, then the compressed data can fit in the buffer, but the computational burden increases
Solution Approach 1:
The patent replaces the complex iterative mechanical system with a simplified predictive calculation system. The system determines the acceptable precision level using a direct calculation that considers buffer size, compressed data size, and additional stress data characteristics, eliminating the need for multiple iterative computational cycles while maintaining the guarantee that compressed data will fit in the buffer.
Solution Approach 2:
The system performs self-service by using its own decompressed reconstructed stress data and additional stress data to predict the acceptable precision level. This self-analyzing approach allows the system to determine the optimal precision without external iterative control, reducing computational burden while ensuring the compressed data will fit within the buffer constraints.
3Quantity of substance
If precision is adjusted to fit compressed data in the buffer, then memory usage is optimized, but the number of iterations increases
Solution Approach 1:
The patent performs preliminary decompression of the compressed stress data to obtain reconstructed stress data before determining the acceptable precision level. This preliminary action provides the system with information about the data characteristics and buffer requirements, enabling direct calculation of the optimal precision level in a single iteration rather than requiring multiple iterative adjustments.
Solution Approach 2:
The patent substitutes the iterative mechanical precision adjustment process with a direct predictive calculation. By using the formula that incorporates compressed data size, buffer size, and additional stress data characteristics, the system determines the acceptable precision level in one calculation step, eliminating the need for repeated iterations to optimize buffer memory usage.
Data Source
AI summary
A method of rate control of a display device includes receiving compressed stress data for a slice of a display, decompressing the compressed stress data to obtain reconstructed stress data for the slice, adding additional stress data to the reconstructed stress data to obtain updated stress data for the slice, encoding the updated stress data at a first precision level (pc) to generate first updated compressed stress data for the slice, in response to a size (bc) of the first updated compressed stress data for the slice of the display exceeding a size (bt) of a buffer, determining a second precision level (p) based on the first precision level (pc), a third precision level (ps) of the additional stress data, and a fourth precision level (pb) of the buffer, and encoding the updated stress data at the second precision level (p) to generate second updated compressed stress data.