AM OLED Image Processing for Power Reduction via Luminance Conversion
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Solution Overview
Problem
Display devices using active matrix organic light emitting diodes (AM OLEDs) consume high power, particularly when displaying content with black text on a white background, as they require significant current to maintain high luminance, leading to increased power consumption.
Innovation Solution
An image processing method and device that classify input content into conversion and preservation target regions, converting the luminance of text and background pixels based on a predetermined standard, using quantization and filtering units to reduce power consumption without damaging original information, and allowing independent luminance conversion for the operating system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If high luminance is supplied to display white background, then display quality is improved, but power consumption increases
Solution Approach 1:
The patent applies different luminance levels to different regions of the display based on content type. Text regions maintain high luminance for readability, while background regions use reduced luminance to save power. This is achieved by classifying pixels into text pixels and background pixels and applying different luminance conversion standards to each category.
2Use of energy by moving object
If luminance conversion is applied to reduce power consumption, then energy efficiency is improved, but image quality may deteriorate
Solution Approach 1:
The patent changes luminance parameters selectively based on pixel classification. Text pixels maintain their original luminance or are converted to a standard luminance level, while background pixels are converted to a lower luminance level. This parameter differentiation ensures that readability is preserved while achieving power savings through targeted luminance reduction.
3Use of energy by moving object
If pixel classification is performed to enable selective luminance conversion, then power consumption is reduced, but processing complexity increases
Solution Approach 1:
The patent segments the image content into distinct pixel categories (text pixels and background pixels) based on luminance thresholds and spatial relationships. This segmentation enables selective processing where only background pixels undergo luminance conversion, simplifying the overall processing requirements compared to converting the entire image while still achieving significant power savings.
Data Source
AI summary
An image processing method for reducing a power consumption. The image processing method may reduce the power consumption by classifying an input content into a conversion target region and a preservation target region and by converting a luminance of pixels included in the conversion target region. Also, the image processing method may effectively perform a luminance conversion for pixels by separating the input content into the conversion target region and the preservation target region based on a luminance of the pixels of the input content. The image processing method may convert the luminance of the pixels of the conversion target region to maintain a contrast between text pixels and background pixels.