Color Display Restoration System Using Cloud Correction
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Solution Overview
Problem
Color display errors and contrast errors, collectively referred to as color difference, occur between dental clinics and laboratories, leading to increased time and manufacturing costs for dentists, dental technicians, and patients.
Innovation Solution
An image color display restoration system that includes a colorimetric component, auxiliary light sources, a camera device, a display device, and a cloud platform. This system captures and transmits images, corrects color using colorimetric algorithms and cloud technology, and displays the corrected images under controlled lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If color correction and colorimetric algorithms are implemented, then color accuracy is improved, but device complexity increases
Solution Approach 1:
A colorimetric component with standardized color blocks is introduced as an intermediary reference object. This component serves as a mediator between the imaging environment and the display system, enabling color calibration without requiring complex embedded sensors or processors in each device. The colorimetric component captures known color values that are used to generate correction parameters, simplifying the overall system architecture while maintaining high color accuracy.
Solution Approach 2:
The system changes the parameters of the imaging environment by controlling auxiliary light sources to provide standardized illumination conditions. By adjusting and standardizing lighting parameters (color temperature, intensity), the system achieves consistent color capture across different environments. This parameter control approach allows color correction algorithms to work more effectively, improving color accuracy without requiring overly complex adaptive systems.
2Illumination intensity
If auxiliary light sources with high illumination values are used, then imaging quality is improved, but energy consumption increases
Solution Approach 1:
The auxiliary light sources provide illumination that exceeds the minimum required level during the image capture phase, ensuring optimal lighting conditions for color accuracy. However, this high illumination is applied only partially - specifically during the brief moment of image capture rather than continuously. The light sources can be turned off or reduced when not needed, thereby achieving high imaging quality during critical moments while minimizing overall energy consumption.
3Measurement precision
If multiple color blocks and calibration components are included, then color correction accuracy is improved, but manufacturing cost increases
Solution Approach 1:
Instead of embedding complex color sensors, processors, or calibration mechanisms in each camera or display device, the system uses a simple physical copy - the colorimetric component with printed or painted color blocks. This component can be manufactured using standard, low-cost techniques and serves as a portable reference that captures color information. The actual color correction computation is performed remotely on servers or workstations, allowing the field devices to remain simple and inexpensive while achieving high correction accuracy.
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
The system automatically corrects color inaccuracies, reduces color differences in dentures, and improves color accuracy, thereby reducing time and costs associated with adjustments and manufacturing.
Implementation Method 1
a colorimetric component, having a plurality of color blocks and a hueless color block; a first auxiliary light source; a camera device, connected to the first auxiliary light source to form an imaging environment
Implementation Method 2
a second auxiliary light source, matched and arranged corresponding to the display device and forming a light source control area, the second auxiliary light source having a second illumination value, and the second illumination value being greater than or equal to 2 times the first illumination value
Data Source
AI summary
An image color display restoration system, method and display system include a first auxiliary light source; a camera device connected to the first auxiliary light source to form an imaging environment, acquiring a first image and imaging parameter values in the imaging environment, wherein the first image includes an image of a colorimetric component; a display device located in an ambient light source area having a first illumination value, and receiving and displaying a second image, wherein the display device has display parameter values; a second auxiliary light source matched and arranged corresponding to the display device and forming a light source control area, and having a second illumination value; a cloud platform receiving the first image, the imaging parameter values and the display parameter values, and after correcting the first image according to the imaging parameter values and the display parameter values, outputting the second image.