Adaptive Color Gamut Adjustment Using Representative Pixel Values
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing color conversion technologies fail to adapt to the unique characteristics of individual images, leading to unintended results and reduced effectiveness in color conversion, as they rely on a single target value for all input images without considering the image's specific characteristics.
Innovation Solution
A method and apparatus for image adaptive color adjustment in a color gamut, which calculates a representative value for each image's pixels, determines a final target color based on a reference target point, and performs color conversion to approach this target, allowing for adaptive color conversion tailored to each image's characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a single target value is used for color conversion of all input images, then the color conversion process is simple and uniform, but the color conversion effect is reduced because it does not consider the characteristics of individual images
Solution Approach 1:
The patent applies dynamics by making the color conversion target value adaptive rather than fixed. The system dynamically determines a target value based on the representative color of each input image, allowing the color conversion process to adapt to different image characteristics. This resolves the contradiction by enabling both efficiency (through automated adaptive determination) and accuracy (through image-specific target values).
Solution Approach 2:
The patent changes the parameter of the target value from a fixed single value to a variable that depends on image characteristics. By calculating the representative color of each image and using it to determine an appropriate target value, the system transforms the color conversion process into one that can achieve high accuracy across different images while maintaining operational efficiency through automated parameter adjustment.
2Loss of time
If color conversion is performed without considering image characteristics, then the conversion process is fast and straightforward, but unintended results occur depending on the state of the input image
Solution Approach 1:
The patent applies preliminary action by calculating the representative color of the input image before performing the actual color conversion. This preliminary step enables the system to determine an appropriate target value that considers image characteristics, ensuring reliable conversion results. The representative color calculation is performed efficiently in advance, so it does not significantly increase the overall conversion time while greatly improving reliability.
Solution Approach 2:
The system uses feedback by utilizing the representative color information of each input image to adjust the target value for color conversion. This feedback mechanism ensures that the conversion process takes into account the specific characteristics of each image, improving reliability. The feedback loop is designed to be computationally efficient, minimizing the time penalty while maximizing the reliability benefit.
3Device complexity
If a fixed color conversion parameter is set for all images, then the system operation is simple, but the effect of color conversion is reduced compared to considering input image characteristics
Solution Approach 1:
The patent applies self-service by enabling the color conversion system to automatically determine its own target value based on the representative color of each input image. The system serves itself by calculating the appropriate conversion parameters without requiring manual intervention or complex external control, thus maintaining operational simplicity while achieving high color reproduction quality through adaptive parameter determination.
Solution Approach 2:
The system changes the conversion parameter (target value) based on image characteristics while maintaining a simple overall system structure. By automatically adjusting the target value according to the representative color of each image, the system achieves high color reproduction quality without requiring complex manual configuration or multiple dedicated systems for different image types.
Data Source
AI summary
A method and apparatus for an image adaptive color adjustment of pixels in a color gamut is disclosed. The method includes calculating a representative value that shows color characteristics of pixels included in a color gamut, calculating a final target color required to convert the representative value to approach a reference target point existing in the color gamut, and converting the pixels included in the color gamut to approach the final target color. The apparatus includes a color gamut boundary storage module; a reference target point storage module; a target color determination module which calculates a representative value that shows color characteristics of pixels included in a color gamut and calculates a final target color required to convert the representative value to approach the reference target point; and a color conversion module which converts the pixels included in the color gamut to approach the final target color.