OLED Brightness Control via Logarithmic Domain Transformation
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Solution Overview
Problem
Existing methods for controlling the brightness of OLED displays are complex and resource-intensive due to the nonlinear relationship between power supply and light output, making them inefficient and incompatible with existing LCD brightness control mechanisms.
Innovation Solution
Converting image data from a framebuffer-encoded domain to a logarithmic domain and subtracting a dimming control value, followed by direct conversion to an analog OLED pixel brightness control signal using a digital-to-analog converter, simplifies dimming and reduces the number of bits required for encoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If conventional brightness control techniques are used for OLED displays, then the brightness can be adjusted, but the system consumes excessive resources and requires complex calculations
Solution Approach 1:
The patent transforms the image data from linear RGB color space to logarithmic color space, changing the mathematical domain of the data. This parameter transformation allows brightness adjustment through simple subtraction operations in the logarithmic domain, avoiding complex nonlinear calculations while maintaining accurate brightness control. The logarithmic transformation converts multiplicative brightness relationships into additive ones, simplifying the computational complexity.
2Illumination intensity
If conventional brightness control techniques are used for OLED displays, then the brightness can be adjusted, but the techniques are incompatible with existing LCD brightness control mechanisms
Solution Approach 1:
The patent creates a unified brightness control approach that works for both LCD and OLED displays. By using logarithmic transformation, the system applies the same mathematical operation (subtraction of dimming value) to control brightness for both display technologies. This universal method replaces technology-specific approaches, making the brightness control mechanism adaptable and compatible across different display types without requiring separate processing paths.
3Loss of information
If more bits are used for encoding image data, then more information can be represented, but the data size and processing overhead increase
Solution Approach 1:
The logarithmic transformation of image data compresses the dynamic range of brightness values, allowing more precise representation of dimmed image data using fewer bits. In the logarithmic domain, the subtraction of dimming values maintains precision while reducing the bit depth required compared to linear domain operations. This parameter transformation optimizes the information density, enabling efficient encoding with reduced data quantity.
Data Source
AI summary
Systems, methods, and devices for efficient brightness control for an organic light emitting diode (OLED) display are provided. In one embodiment, such a method may include receiving image data into a data driver of an organic light emitting diode display and transforming the image data into a logarithmic domain. A dimming control value may be subtracted from this log-encoded image data. The resulting log-encoded dimmed image data may represent a darker version of the originally received image data. Thereafter, a pixel of the organic light emitting diode display may be driven based at least in part on the dimmed image data.