Foveated Display Compensation Reduces Memory and Power
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional compensation techniques for organic light emitting display devices require significant time and resources to sense and store data for all pixels, leading to high memory and power consumption, and lack a solution for virtual reality display devices.
Innovation Solution
The method involves dividing the display panel into foveated and non-foveated areas, performing high-density compensation for the foveated area and low-density compensation for the non-foveated area, with the storage unit storing compensation values efficiently to reduce memory and power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional compensation technique senses change in element characteristics for all pixels, then compensation accuracy is improved, but processing time and memory consumption increase significantly
Solution Approach 1:
The display panel is divided into a foveated area (central area where user focuses) and a non-foveated area (peripheral area). High-density compensation is performed only for pixels in the foveated area, while low-density compensation is performed for pixels in the non-foveated area. This segmentation allows the system to concentrate computational resources where they are most needed, reducing overall processing time while maintaining compensation accuracy in the critical viewing region.
Solution Approach 2:
Different compensation densities are applied to different regions of the display panel based on their functional importance. The foveated area receives high-density compensation (compensation for all pixels) because it corresponds to the user's primary viewing region, while the non-foveated area receives low-density compensation (compensation for subset of pixels) because it is less critical for user perception. This local quality approach optimizes the balance between compensation accuracy and processing efficiency.
2Measurement precision
If conventional compensation technique stores sensing data for all pixels in memory, then compensation accuracy is improved, but memory capacity requirements and power consumption increase
Solution Approach 1:
The memory storage requirement is segmented by dividing the display panel into foveated and non-foveated areas. Compensation values are stored with high density for the foveated area (all pixels) and low density for the non-foveated area (subset of pixels). This reduces the total number of compensation values that need to be stored in memory, thereby reducing memory capacity requirements while maintaining accuracy where most needed.
Solution Approach 2:
The patent extracts and stores compensation data selectively rather than comprehensively. By taking out (extracting) compensation values only for the foveated area pixels and a subset of non-foveated area pixels, the system reduces the quantity of data stored in memory while still providing accurate compensation for the critical viewing regions. This extraction approach directly addresses the memory capacity constraint.
3Measurement precision
If conventional compensation technique performs periodic sensing for all pixels, then compensation accuracy is improved, but power consumption increases
Solution Approach 1:
The sensing operation is segmented by spatial region, with high-density sensing performed only for pixels in the foveated area and low-density sensing for pixels in the non-foveated area. This segmentation reduces the total number of sensing operations required, thereby reducing power consumption while maintaining compensation accuracy in the critical central viewing region where user attention is focused.
Solution Approach 2:
The patent applies partial action by performing full sensing (high-density compensation) only where necessary (foveated area) and reduced sensing (low-density compensation) where less critical (non-foveated area). This partial action approach avoids the excessive action of sensing all pixels uniformly, thereby reducing overall power consumption while maintaining sufficient accuracy for user experience in the primary viewing region.
Data Source
AI summary
The present disclosure relates to a compensation method of a display device and the display device having a compensation value storage unit, and more particularly, to a method of performing the compensation by changing a compensation density for pixels included in the display device, and the display device having a storage unit for storing a compensation value for performing the method. According to the present disclosure, the compensation method is provided that includes dividing a display panel into a foveated area and a non-foveated area; performing high-density compensation for a plurality of pixels in the foveated area; and performing low-density compensation for a plurality of pixels in the non-foveated area.