Electronic Device Pixel Color Correction Using Digital CMF
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Solution Overview
Problem
Conventional color measuring instruments face difficulties in accurately measuring chromaticity and luminance of various light sources due to the need for specific color filters, leading to potential inaccuracies and unsatisfactory luminance and chromatic uniformity in display devices.
Innovation Solution
An electronic device equipped with a sensor, storage unit for pre-defined color matching functions (CMFs) by light source type, and a processor that acquires spectral information, selects the appropriate CMF, and calculates correction coefficients for each pixel to correct chromaticity and luminance, eliminating the need for physical color filters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a color filter is used for measuring chromaticity and luminance, then measurement can be performed for a specific light source type, but the device cannot measure other types of light sources accurately
Solution Approach 1:
The patent replaces physical color filters with digital color matching functions (CMFs) stored in memory. The sensor captures spectral information across multiple wavelengths, and the processor applies appropriate CMFs to calculate chromaticity and luminance values. This digital copying approach eliminates the need for physical filters while maintaining measurement accuracy across different light source types.
Solution Approach 2:
The system changes the measurement parameters by capturing spectral information at multiple discrete wavelengths (e.g., 405nm, 450nm, 480nm, 530nm, 560nm, 590nm, 630nm, 680nm) rather than using continuous spectral measurement with physical filters. The processor then applies wavelength-dependent CMFs to derive color stimulus values, enabling accurate measurement for various light source types through parameter-based adaptation.
2Adaptability or versatility
If multiple color filters are provided for different light sources, then measurement versatility is improved, but device complexity and cost increase
Solution Approach 1:
The patent implements a universal measurement system where a single sensor with multiple wavelength detection capabilities can measure all types of light sources. The processor selects and applies appropriate CMFs from stored data based on the detected light source characteristics, eliminating the need for multiple physical filters while maintaining the ability to accurately measure diverse light source types.
Solution Approach 2:
The patent replaces the mechanical/optical system of physical color filters with a computational system using digital color matching functions. The sensor captures broadband spectral information, and the processor performs computational colorimetry by applying stored CMFs, substituting physical filter mechanisms with software-based processing.
3Measurement precision
If conventional color measuring instruments are used, then chromaticity and luminance can be measured, but accurate measurement of various light source types cannot be achieved
Solution Approach 1:
The patent transitions from two-dimensional color measurement (using color filters that integrate across wavelengths) to three-dimensional spectral measurement by capturing intensity at multiple discrete wavelengths. This additional spectral dimension enables the system to distinguish between different light source types and apply appropriate CMFs for accurate chromaticity and luminance measurement across various light sources.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution allows for accurate measurement and correction of chromaticity and luminance across different light sources, reducing costs and enhancing convenience by enabling easy adaptation of CMFs for each light source type without the need for physical color filters.
Implementation Method 1
acquire spectral information regarding at least one pixel of a display panel by using the sensor
Data Source
AI summary
An electronic device is disclosed. The electronic device includes a sensor, a storage unit for storing a color matching function (CMF), which has been pre-defined according to characteristics of a light source, and a processor for acquiring spectral information regarding at least one pixel of a display panel by using a sensor, for acquiring color stimulus values regarding at least one pixel on the basis of the stored CMF and the acquired spectral information, and for acquiring a correction coefficient regarding at least one pixel of the display panel on the basis of the acquired color stimulus values.


