Grayscale Conversion with Dynamic Gray Spacing for Color Discrimination
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing grayscale conversion methods for converting full-color images to monochrome reduce color discrimination and alter the impression of the original image, especially when colors with significantly different RGB values are converted to similar gray values.
Innovation Solution
An image processing apparatus that includes a conversion unit to convert multidimensional color components into gray values and a modification unit that adjusts gray value differences, ensuring they meet a threshold value or are reduced based on their magnitude, thereby improving color discrimination in the grayscale image.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If uniform gray value assignment is used to improve color discrimination, then discrimination is improved, but the impression changes considerably from the original color image
Solution Approach 1:
The patent dynamically adjusts the gray value assignment parameters based on the specific color relationships in the image. Instead of using fixed uniform intervals, the system calculates optimal gray values that maintain both discrimination and original impression by considering the relative relationships between colors in the source image.
Solution Approach 2:
The gray value assignment is made dynamic rather than static. The system adapts the gray value distribution based on the actual color content of the image, allowing the conversion parameters to change according to the specific image being processed, thus preserving the original impression while maintaining discrimination.
2Ease of manufacture
If conventional grayscale conversion is used to convert color to monochrome, then conversion is achieved, but color discrimination is reduced
Solution Approach 1:
The system incorporates feedback mechanisms where the conversion process continuously evaluates the gray value differences and adjusts the assignment to maintain discrimination. The patent uses iterative optimization where the results of conversion inform subsequent adjustments, ensuring that color discrimination is preserved throughout the process.
Solution Approach 2:
The patent performs preliminary analysis of the color relationships in the source image before conducting the actual grayscale conversion. By pre-calculating the optimal gray value assignments based on the specific color combinations present, the system prepares the conversion parameters in advance to ensure discrimination is maintained from the start of the conversion process.
Data Source
AI summary
In a case where a plurality of colors is included in the color image, the modification unit calculates a gray value difference indicating a difference between two adjacent gray values for a plurality of the gray values corresponding to the plurality of colors and arranged in order from the largest gray value, in a case where the calculated gray value difference is smaller than a threshold value, changes the corresponding gray value so that the gray value difference becomes the same value as the threshold value, and in a case where the calculated gray value difference is larger than the threshold value, changes the corresponding gray value so that the gray value difference becomes small in accordance with the magnitude of the gray value difference.