Projector Spectral Imaging Color Correction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing projector technologies face challenges in obtaining accurate colorimetric results, even with cameras capable of shooting in multiple bands, due to limitations in measuring and correcting image data across various colors and gray levels.
Innovation Solution
A projector system incorporating a projection section, a spectral imaging section with an imaging element and spectral element, and a control section that sets specific color and gray levels for image projection, takes images under different measurement conditions, and calculates correction parameters based on the obtained image information to correct the image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera capable of shooting in multiple bands is used, then the colorimetric measurement capability is improved, but the measurement precision is still insufficient due to limitations in capturing accurate spectral information across various colors and gray levels
Solution Approach 1:
The patent transitions from conventional 2D color space measurement to 3D spectral measurement by introducing wavelength as an additional dimension. The spectral imaging section captures intensity information across multiple wavelength bands (red, green, blue, and intermediate wavelengths), transforming the measurement from simple RGB values to comprehensive spectral data that preserves more information about the projected image's color properties.
Solution Approach 2:
The system changes the measurement parameters by capturing intensity values at multiple wavelength points rather than relying on broad spectral bands. By measuring at specific wavelengths (red, green, blue, and intermediate wavelengths) and calculating spectral information through mathematical operations, the system achieves more precise colorimetric measurements that account for variations in gray levels and color saturation.
2Measurement precision
If multiple images at different colors and gray levels are captured sequentially, then the colorimetric accuracy is improved, but the measurement time increases
Solution Approach 1:
The control section pre-calculates the optimal set of images to be captured, determining specific colors and gray levels in advance. This preliminary planning allows the spectral imaging section to efficiently capture only the necessary images for accurate colorimetric measurement, avoiding unnecessary captures and reducing overall measurement time while maintaining precision.
Solution Approach 2:
The system captures a specific subset of images at different gray levels for each color rather than capturing all possible combinations. By selecting only the essential images needed for accurate spectral reconstruction and colorimetric calculation, the system achieves sufficient measurement precision with reduced capture time compared to exhaustive sampling.
3Measurement precision
If the spectral imaging section captures images at multiple wavelength intervals, then the spectral resolution is improved, but the data processing complexity increases
Solution Approach 1:
The control section uses feedback from the captured spectral data to dynamically adjust processing parameters. By analyzing the intensity values obtained at different wavelength intervals, the system determines the appropriate level of spectral detail required and applies corresponding mathematical operations (such as calculating intermediate wavelength intensities from primary color data), optimizing the balance between spectral resolution and processing complexity.
Solution Approach 2:
The patent replaces complex physical spectral analysis mechanisms with mathematical computations. Instead of requiring physically complex spectroscopic equipment, the system uses the spectral imaging section to capture intensity data and then employs mathematical operations (including calculations of intermediate wavelength intensities from red, green, and blue channel data) to derive comprehensive spectral information, simplifying the overall system while maintaining high spectral resolution.
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 improves colorimetric accuracy by generating correction parameters that minimize square errors in image measurement, allowing for precise color correction across multiple colors and gray levels, enhancing the overall image projection quality.
Implementation Method 1
a spectral imaging section (137) including an imaging element (303) and a spectral element (302), wherein the control section (150) makes the spectral imaging section (137) take the image projected by the projection section (110) while changing a spectral wavelength of the spectral element (302) at first wavelength intervals to generate imaging data
Data Source
AI summary
A projector includes a projection section, a spectral imaging section, and a control section, wherein the control section makes the projection section project an adjusting image corresponding to a color and a gray level of an image to be projected by the projection section while changing the color and the gray level to a first color and a first gray level, the first color and a second gray level, a second color and a third gray level, and the second color and a fourth gray level, sets a measurement condition corresponding to the color to the spectral imaging section, and makes the spectral imaging section take the adjusting images projected by the projection section to obtain spectral imaging data.