Pixel-by-pixel display correction for reflection artifacts
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Solution Overview
Problem
Display devices in information handling systems face challenges in maintaining image quality due to environmental light sources, specifically diffuse and specular reflections, which combine with the actual video light source and affect image clarity.
Innovation Solution
A pixel-by-pixel correction method is implemented using ambient light sensors to measure voltage values, convert them to digital values, calculate correction values, and apply a sigmoid transfer function and discrete sharpening filter if necessary to enhance contrast and offset reflection effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If environmental light sources are present, then the display device can operate in various lighting conditions, but image quality is degraded due to diffuse and specular reflections
Solution Approach 1:
The patent applies different correction strategies to different regions of the display based on local reflection characteristics. Diffuse reflection correction is applied uniformly across the display, while specular reflection correction is applied selectively to affected regions, optimizing image quality locally without affecting the entire display uniformly.
Solution Approach 2:
The system dynamically adjusts pixel values by calculating correction amounts based on measured reflection characteristics. The correction process modifies brightness and contrast parameters of individual pixels to compensate for reflection effects, allowing the display to maintain image quality across varying lighting conditions.
2Manufacturing precision
If pixel-by-pixel correction is applied to reduce reflection effects, then image quality is improved, but computational complexity and processing time increase
Solution Approach 1:
The correction process is divided into distinct segments: diffuse reflection correction and specular reflection correction. Each type of reflection is handled with its own correction algorithm, allowing the system to process different reflection types independently and efficiently, reducing overall computational complexity.
Solution Approach 2:
The system applies correction only to pixels that are actually affected by reflections, rather than processing every pixel uniformly. By identifying and correcting only the necessary pixels based on reflection detection, the computational load is reduced while maintaining image quality where needed.
3Object-affected harmful factors
If correction values are calculated for each pixel to offset reflections, then reflection effects are reduced, but processing time and energy consumption increase
Solution Approach 1:
The display device uses its own sensors to detect reflection characteristics and automatically calculates correction values for its pixels. This self-contained approach eliminates the need for external correction devices, reducing overall system energy consumption while maintaining effective reflection compensation.
Solution Approach 2:
The system dynamically adjusts pixel parameters based on real-time reflection measurements, applying correction only when and where needed. By changing pixel brightness and contrast parameters selectively rather than continuously, the system reduces energy consumption while maintaining image quality.
Data Source
AI summary
Methods and a system for pixel-by-pixel correction of diffuse reflected and specular reflected light on a display device of an information handling system. Voltage values of pixels of the display device are measured by sensors. Measured voltage values of a pixel are converted to a digital value. A digital correction value calculated based on whether diffuse reflected light or diffuse reflected light and specular reflected light is found on the pixel. A sigmoid transfer function and discrete sharpening filter is performed on the pixel, if the digital correction value is less than zero.