N-Axis Color Control via Influence Degree Calculation
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Solution Overview
Problem
Current 6-axis color control technologies, whether implemented using dedicated circuits or three-dimensional look-up tables, require significant user expertise and can lead to color distortion and increased circuit complexity, making it difficult to achieve high-quality image processing without burdening the user with complex know-how.
Innovation Solution
An image processing system that calculates the influence of n-axis vertices on arbitrary lattice points in the RGB color space, automatically adjusting RGB coordinates based on shifting vertices and influence degrees, allowing for n-axis color control without requiring extensive user knowledge.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dedicated circuits are used for 6-axis color control, then color adjustment precision is improved, but device complexity increases
Solution Approach 1:
The patent replaces dedicated hardware circuits with a software-based image processing system that runs on general-purpose processors. The color adjustment functions previously implemented through complex dedicated circuits are now achieved through software algorithms that calculate influence degrees and perform coordinate transformations, eliminating the need for specialized hardware while maintaining processing capability.
Solution Approach 2:
The patent creates a universal image processing system that can perform multiple functions including 6-axis color control, color space conversion, and various image processing operations using a single integrated platform. This multi-functional system replaces the need for separate dedicated circuits for each function, reducing overall device complexity while maintaining precision through software-based processing.
2Ease of operation
If three-dimensional look-up tables are used for 6-axis color control, then ease of operation is improved, but manufacturing precision deteriorates due to color distortion
Solution Approach 1:
The patent dynamically changes the processing parameters by calculating influence degrees based on the distance between target points and n-axis vertices. Instead of using fixed look-up table values, the system adjusts the weighting parameters dynamically according to the specific color adjustment needs, allowing for both ease of operation through automated calculation and high precision through adaptive parameter adjustment.
Solution Approach 2:
The patent implements a feedback mechanism where the system calculates the influence degree of each vertex on target points and uses this information to automatically adjust color coordinates. This closed-loop approach ensures color accuracy is maintained while keeping the operation simple for users, as the system self-adjusts based on calculated influence relationships rather than requiring manual calibration.
3Ease of operation
If automated color control is implemented, then ease of operation is improved, but device complexity increases due to calculation requirements
Solution Approach 1:
The patent segments the color adjustment process into distinct calculation steps: calculating distances between target points and vertices, determining influence degrees for each vertex, and applying weighted transformations to color coordinates. This segmentation of the automated process into modular calculation stages makes the complexity manageable and allows for efficient implementation through systematic software processing.
Data Source
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AI summary
An n-axis color control (n is an integer not less than 3) without requiring a user's burden is realized. An input interface unit inputs into an adjustment data generation unit at least a part of adjustment values of color attributes of each of the n-axis vertices, the n axes serving as an adjustment axis in a RGB color space. The adjustment data generation unit calculates the degree of influence which indicates the following index of each of the n-axis vertices based on the distance between each of the n-axis vertices and a target point which is an arbitrary lattice point in the RGB color space . The adjustment data generation unit calculates adjusted coordinates of the target point in the RGB color space based on shifting of each of the n-axis vertices in the RGB color space according to the adjustment value and the degree of influence. The image adjustment unit performs color adjustment of inputted image data, based on the original coordinates of the target point and the adjusted coordinates of the target point concerned calculated by the adjustment data generation unit, and based on the original coordinates and adjusted coordinates of each of the n-axis vertices.