Optical Sensor Compensation Data Compression for High-Resolution Displays
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Solution Overview
Problem
The increasing resolution of display panels in electronic devices leads to larger sensing output signals from optical sensors, increasing production costs due to the need for larger memory sizes to accommodate these signals, and there is a demand for efficient optical compensation systems to improve image quality and reduce noise.
Innovation Solution
An optical compensation system that includes an optical sensor, a compensation data generation device, and a post-processor using deep convolutional neural networks (DCNN) to reduce the size of compensation data by calculating offsets and gains, compressing coherent and incoherent components, and removing noise from readout signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If display panel resolution is increased, then image quality is improved, but memory size requirements increase leading to higher production costs
Solution Approach 1:
The patent extracts only the essential compensation parameters (offset and gain values) from the complete sensing output signal, storing only these compressed parameters in memory rather than the full high-resolution sensing data. This extraction approach maintains the ability to perform optical compensation while dramatically reducing the memory size required to support high-resolution display panels.
Solution Approach 2:
The patent transforms the sensing output signal from its original high-dimensional form into a compressed parameter space characterized by offset and gain values. This parameter transformation allows the system to represent complex optical variations with minimal data, resolving the contradiction between high display resolution and memory size requirements.
2Measurement precision
If complete sensing output signal is stored, then optical compensation accuracy is maintained, but memory size and production cost increase
Solution Approach 1:
The system extracts only the critical compensation parameters (offset and gain) from the complete sensing output signal. These extracted parameters capture the essential optical characteristics needed for accurate compensation while eliminating redundant data, thereby maintaining compensation accuracy with minimal memory storage.
Solution Approach 2:
Instead of storing the complete sensing output signal, the system creates a compressed copy represented by offset and gain parameters. This parametric copy preserves the necessary information for optical compensation while occupying minimal memory space, resolving the contradiction between accuracy and storage size.
3Measurement precision
If offset and gain calculation is performed, then compensation data accuracy is improved, but data processing complexity increases
Solution Approach 1:
The patent transforms the complex sensing output signal into simplified parametric form (offset and gain values) through mathematical operations. This parameter transformation maintains high compensation accuracy while reducing processing complexity, as the transformed parameters are more efficient to store, retrieve, and apply during operation.
Data Source
AI summary
An optical compensation system includes an electronic device including an optical sensor, and an optical compensation data generation device that outputs compensation data corresponding to a characteristic of the optical sensor based on a sensing output signal from the optical sensor. The optical compensation data generation device calculates a first offset and a gain based on the sensing output signal, outputs a second offset calculated by deleting the gain while the first offset is calculated based on characteristics of the first offset and the gain, and outputs the second offset as the compensation data. The electronic device performs optical compensation on a readout signal from the optical sensor based on the compensation data from the optical compensation data generation device and outputs a compensated readout signal.