AMOLED Compensation via Pixel Sub-sampling and Interpolation
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Solution Overview
Problem
Modern display technologies, such as AMOLED, face issues with defects, variations, and non-uniformities from fabrication, leading to increased data transfer demands between memory and compensation modules, resulting in higher power consumption, manufacturing costs, and larger physical footprints as resolution and frame rate increase.
Innovation Solution
A method and system for image compensation in emissive displays that store full resolution measurement data for all pixels, retrieve and interpolate data only for a selected subset, and compensate using interpolated data, minimizing error by predicting and correcting interpolation errors, with the option to dynamically adjust sub-sampling frequency and use an error table for high error pixels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If full resolution measurement data for all pixels is stored and processed, then image accuracy and uniformity are maintained, but memory bandwidth requirements and power consumption increase
Solution Approach 1:
The patent segments the measurement data processing by dividing pixels into two groups: a first group of pixels whose measurement data is directly read from memory, and a second group of pixels whose measurement data is generated through interpolation. This segmentation allows the system to maintain full resolution image accuracy while reducing the amount of data that must be read from memory, thereby reducing power consumption and memory bandwidth requirements.
Solution Approach 2:
The patent creates interpolated measurement data for the second group of pixels by copying and processing data from the first group of pixels. Instead of reading and processing all full resolution measurement data from memory, the system generates approximate measurement data for the second group through interpolation algorithms, reducing memory bandwidth requirements while maintaining sufficient image accuracy.
2Measurement precision
If full resolution measurement data for all pixels is stored and processed, then image accuracy is maintained, but manufacturing costs and physical footprint increase
Solution Approach 1:
The patent segments the measurement data processing by dividing pixels into two groups: a first group of pixels whose measurement data is directly read from memory, and a second group of pixels whose measurement data is generated through interpolation. This segmentation allows the system to maintain full resolution image accuracy while reducing the amount of data that must be read from memory, thereby reducing power consumption and memory bandwidth requirements.
Solution Approach 2:
The patent applies partial action by reading measurement data for only a portion of the pixels (the first group) from memory, while generating measurement data for the remaining pixels (the second group) through interpolation. This partial approach to data retrieval reduces memory bandwidth requirements and associated hardware complexity, lowering manufacturing costs while maintaining sufficient image accuracy for practical applications.
3Reliability
If measurement data for all pixels is retrieved from memory, then complete image compensation is achieved, but memory bandwidth requirements increase
Solution Approach 1:
The patent segments the measurement data processing by dividing pixels into two groups: a first group of pixels whose measurement data is directly read from memory, and a second group of pixels whose measurement data is generated through interpolation. This segmentation allows the system to maintain full resolution image accuracy while reducing the amount of data that must be read from memory, thereby reducing power consumption and memory bandwidth requirements.
Solution Approach 2:
The patent creates interpolated measurement data for the second group of pixels by copying and processing data from the first group of pixels. Instead of reading and processing all full resolution measurement data from memory, the system generates approximate measurement data for the second group through interpolation algorithms, reducing memory bandwidth requirements while maintaining sufficient image accuracy.
Data Source
AI summary
What is disclosed are systems and methods of compensation of images produced by active matrix light emitting diode device (AMOLED) and other emissive displays. Sub-sampling of pixel measurement data utilized in compensation of the display is utilized to reduce the data bandwidth between memory and a compensation module where the data is locally interpolated.


