Color Conversion Signal Processing Apparatus Spectral Difference
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Solution Overview
Problem
Existing image pickup devices with different spectral characteristics lead to variations in color reproduction, making it challenging to achieve high accuracy color conversion processing at a low cost, as current methods either require linear conversion for low cost but low accuracy or table conversion for high accuracy but high cost and power consumption.
Innovation Solution
A signal processing apparatus that calculates the spectral difference between image pickup devices and determines whether to perform linear or non-linear color conversion based on the spectral difference value, using a determination reference value to optimize color conversion processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If linear conversion is used for color conversion processing, then cost and power consumption are reduced, but color reproduction accuracy deteriorates when spectral characteristics differ significantly
Solution Approach 1:
The system dynamically selects between linear conversion and table conversion based on the spectral difference value calculated from the image pickup device's characteristics. When the spectral difference is within a threshold, linear conversion is used for low power consumption; when exceeds the threshold, table conversion is activated for high accuracy, thus adapting power usage to actual needs
Solution Approach 2:
The invention changes the conversion method parameter based on the spectral difference parameter. By calculating the spectral difference value and comparing it against a determination reference value, the system switches between different conversion approaches (linear vs. table conversion), optimizing both accuracy and power consumption based on the specific device characteristics
2Measurement precision
If table conversion is used for color conversion processing, then color reproduction accuracy is improved, but device complexity and cost increase due to large capacity memory requirements
Solution Approach 1:
The system dynamically adjusts the conversion method based on spectral difference conditions. Table conversion with its large memory requirements is only activated when spectral difference exceeds the threshold, avoiding unnecessary memory allocation for devices with similar spectral characteristics that can use simpler linear conversion
Solution Approach 2:
The invention changes the conversion approach parameter based on the spectral difference parameter. When spectral difference is small, the system uses linear conversion with minimal memory; when spectral difference is large, it switches to table conversion, thus optimizing the balance between accuracy and memory requirements
3Device complexity
If linear conversion is used for color conversion processing, then device complexity is reduced, but color reproduction accuracy deteriorates when spectral characteristics differ significantly
Solution Approach 1:
The system dynamically selects the appropriate conversion method based on spectral difference. Linear conversion is used when spectral characteristics are similar (low complexity needed), while table conversion is activated only when spectral differences are significant, thus avoiding unnecessary complexity for most common cases
Solution Approach 2:
The invention changes the conversion method parameter based on the spectral difference parameter. By calculating spectral difference and comparing it to a threshold, the system optimizes processing complexity - using simple linear conversion for most cases and reserving complex table conversion only when necessary for accurate color reproduction
Data Source
AI summary
A signal processing apparatus for determining color conversion for converting a second color signal obtained through image pickup by a second image pickup device to be processed to a color signal approximate to a first color signal obtained through image pickup by a target first image pickup device, including a spectral difference calculating section that calculates a difference between spectral characteristics of the first image pickup device and spectral characteristics of the second image pickup device for each of spectral characteristics corresponding to a plurality of color signals making up a color signal and a processing determining section that determines linear conversion as color conversion when the spectral difference value is equal to or less than a determination reference value and determines non-linear conversion as the color conversion when the spectral difference value is greater than the determination reference value.