Imaging Device Color Filter Spectral Matrix Selection
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Solution Overview
Problem
Existing imaging devices face challenges in accurately reproducing colors due to mismatch between the relative spectral-transmission properties of color filters and human visual response properties.
Innovation Solution
An imaging device with a color filter having at least four color elements and a matrix-selection processor that detects spectral distribution properties of objects to select an appropriate color matrix for generating R, G, and B primary color signals through a color-conversion process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a color filter with at least four color elements having different spectral transmission properties is used, then color reproduction accuracy is improved, but device complexity increases due to the need for multiple color matrices and spectral detection
Solution Approach 1:
Multiple color matrices are prepared in advance, each optimized for different spectral distribution characteristics. The system performs spectral detection and selects the appropriate pre-prepared matrix, avoiding the need for complex real-time matrix generation while achieving accurate color reproduction for various object types
Solution Approach 2:
The system changes the color matrix parameter based on detected spectral distribution properties of the object. By detecting spectral characteristics and selecting from multiple pre-prepared matrices with different parameters, the system adapts to different color reproduction requirements without increasing fundamental system complexity
2Measurement precision
If multiple color matrices are prepared for different spectral distribution properties, then color accuracy for various objects is improved, but processing time increases due to spectral detection and matrix selection
Solution Approach 1:
Multiple color matrices are pre-computed and stored before actual image processing. When an image is captured, the system only needs to detect spectral properties and select from the pre-prepared matrices, significantly reducing processing time compared to computing optimal matrices in real-time
Solution Approach 2:
The color processing is segmented into distinct stages: spectral detection, matrix selection, and color conversion. This segmentation allows each stage to be optimized independently, with matrix selection being a quick lookup operation that minimizes overall processing time
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 approach enables accurate color reproduction by matching the spectral distribution properties of objects with the appropriate color matrices, improving color accuracy and reducing noise in image signals.
Implementation Method 1
a color filter which has at least four color elements having different spectral transmission properties respectively
Implementation Method 2
Light, reflected off an object, passes through the color filter so that image-pixel signals, which are composed of color signals corresponding to the color elements, are generated
Data Source
AI summary
An imaging device has an image sensor, and a color filter. The color filter is located on the image sensor and has at least four color elements that respectively have different spectral transmission properties. Further, the imaging device has a matrix-selection processor and a color conversion processor. The matrix-selection processor detects the spectral distribution properties of an object that are present in the series of color signals. Then, the matrix-selection processor selects one color matrix appropriate for the detected spectral distribution property from a plurality of color matrices according to the particular spectral distribution properties of a given object. The color-conversion processor generates R, G, and B primary color signals from the series of color signals by a color-conversion process using the selected color matrix.