OLED Compensation Data Compression for Lower Bandwidth Storage
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Solution Overview
Problem
The high data capacity and bandwidth requirements for OLED display panel compensation data lead to increased costs and storage needs, due to inconsistent electrical characteristics of drive TFTs affecting brightness uniformity, which existing technologies have not adequately addressed.
Innovation Solution
A method and apparatus for data compression and decompression that involves acquiring compensation data, comparing it with preset base value data to obtain a deviation, and performing encoding compression to reduce storage and bandwidth needs, using a first reader, comparator, encoder, second reader, decoder, and calculation unit to manage the data effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If compensation data is stored directly without compression, then data integrity and accuracy are maintained, but storage capacity and bandwidth requirements increase significantly
Solution Approach 1:
The patent segments the compensation data into two parts: base value data (stored once) and deviation data (stored compressed). This segmentation allows the system to store only the differences from the base values, significantly reducing storage requirements while maintaining full data integrity through the reconstruction process during decompression.
Solution Approach 2:
The patent transforms the compensation data representation by changing from storing absolute values to storing deviations/differences. This parameter transformation enables more efficient compression because deviation values are typically smaller and can be encoded using fewer bits, reducing storage capacity requirements while preserving the ability to reconstruct the original data.
2Quantity of substance
If compensation data is compressed to reduce storage needs, then storage capacity and bandwidth requirements decrease, but data processing complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing the base value data separately before compression. This preliminary step simplifies the subsequent compression process because the deviation calculation becomes a straightforward subtraction operation, reducing the overall processing complexity despite the added decompression step.
Solution Approach 2:
The patent introduces deviation data as an intermediary representation between the original compensation data and the compressed storage format. This intermediary form simplifies the compression process while maintaining the ability to reconstruct the original data, effectively managing processing complexity through a structured transformation approach.
3Speed
If high bandwidth is used for reading and writing compensation data, then data transmission speed is improved, but system cost increases
Solution Approach 1:
The patent extracts the essential information from the compensation data by separating the base values from the deviations. This extraction allows the system to transmit and store only the critical deviation information at higher speeds, reducing the total data volume and thereby lowering bandwidth requirements and system costs while maintaining effective compensation functionality.
Data Source
AI summary
A method for data compression includes acquiring compensation data, comparing the compensation data with preset base value data to obtain a compensation data deviation, and performing an encoding compression on the compensation data deviation to obtain compressed data.