Automatically Selected Adjusters for Grayscale Conversion
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Solution Overview
Problem
Conventional image editing software often produces grayscale images with flat contrast and indistinct shadows and highlights when converting color images, lacking effective tools for adjusting color balance and brightness.
Innovation Solution
The implementation of automatically selected adjusters in image editing software, which allow users to select and adjust primary colors based on the hue angle of image areas, enabling improved grayscale conversions and color adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional grayscale conversion is used, then the conversion process is simple, but the resulting image has flat contrast and indistinct shadows and highlights
Solution Approach 1:
The patent segments the grayscale conversion process by introducing multiple adjusters corresponding to different hue angles. Each adjuster handles a specific color range, allowing independent optimization of contrast and tonal distribution for different parts of the image spectrum, thereby resolving the contradiction between simple conversion and high-quality output
Solution Approach 2:
The patent changes the parameters of grayscale conversion by applying hue-angle-based adjustments to the conversion process. By modifying how color components are weighted and combined based on their hue angles, the system achieves superior contrast and shadow/highlight distinction while maintaining an automated operation process
2Manufacturing precision
If manual adjuster selection is used, then precise color control is achieved, but the operation becomes complex and time-consuming
Solution Approach 1:
The patent implements self-service by enabling the system to automatically select and apply the appropriate adjuster based on the hue angle of the image area. This eliminates the need for manual intervention in selecting which adjuster to use, thereby maintaining precise color control while significantly reducing operational complexity and time requirements
Solution Approach 2:
The system automatically changes the parameter being adjusted (hue angle) to determine which adjuster should be applied. This dynamic parameter-based selection allows the system to adapt to different color regions automatically, providing precise control without requiring user knowledge of color theory or manual adjuster selection
Data Source
AI summary
Automatically selected adjusters are described, including selecting an area of an image, determining a characteristic of the area, and selecting an adjuster of a set of adjusters based on the characteristic of the area.