Display Device Signal Processor Expansion Coefficient Optimization
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Solution Overview
Problem
Display devices with added white sub-pixels face increased processing loads due to the need to generate output values for both white and color sub-pixels, which can lead to higher power consumption and reduced efficiency in displaying high-luminance images.
Innovation Solution
A signal processor determines expansion coefficients pixel-by-pixel to calculate output values for sub-pixels, selectively performing calculations based on whether input values between frames are substantially the same, thereby reducing processing load and optimizing image display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If a white sub-pixel is added to increase luminance, then power consumption of the backlight can be reduced, but the processing load of the signal processor increases
Solution Approach 1:
The signal processor performs preliminary determination of expansion coefficient candidates for each pixel before final calculation. By pre-identifying candidates based on input value comparisons and statistical information, the system prepares processing results in advance, reducing the computational burden during actual image display operations.
Solution Approach 2:
The system uses statistical information about expansion coefficients that is automatically accumulated and updated during normal operation. This self-generated statistical data serves the system by enabling faster determination of expansion coefficients without requiring external input or complex real-time calculations, allowing the system to serve its own processing needs.
2Reliability
If output values are calculated for all pixels in every frame, then image quality is maintained, but processing time and power consumption increase
Solution Approach 1:
The signal processor performs partial processing by determining expansion coefficient candidates for each pixel individually rather than processing all pixels uniformly. It selectively applies full processing only when necessary (when input values change significantly), while using simplified processing or cached statistical information for other pixels, thus performing just enough processing to maintain quality without excessive computation.
Solution Approach 2:
The system periodically updates statistical information about expansion coefficients at intervals rather than recalculating everything for each frame. This periodic updating of statistical data allows the system to maintain accurate processing parameters over time while avoiding continuous full-scale recalculations, thereby reducing processing time while preserving image quality.
Data Source
AI summary
A display device includes a display panel and a processor. The panel has pixels including first to fourth sub-pixels. The processor determines candidates for an expansion coefficient of pixels when displaying an image of one frame, determines the coefficient for the one frame, based on each candidate, calculates the output values of a pixel, based on the coefficient and the input values of the pixel, and outputs the output values to the panel. The processor calculates a candidate for the coefficient in the second frame of a pixel, when the input values of this pixel are not substantially the same between first and second frames, and calculates no candidate for the coefficient when the input values of the pixel are substantially the same between the first and second frames.