Dynamic Color Conversion Method Selection Based on Hue Change Index
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Solution Overview
Problem
Existing image processing technologies often perform color conversion without adequate consideration of individual image features, leading to inadequate processing results.
Innovation Solution
An image processing device that acquires hue values from images, determines an index value representing the degree of hue change, and selects between two color conversion methods based on this index value to ensure appropriate processing, using a first method for low hue change and a second method for high hue change.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single color conversion method is used for all images, then the processing is simple and fast, but the color conversion quality is inadequate for images with different hue characteristics
Solution Approach 1:
The patent implements dynamic selection of color conversion methods based on the hue characteristics of the input image. The system calculates hue values for each pixel, determines the dominant hue, and automatically selects between a first color conversion method (for images with low hue change requirements) and a second color conversion method (for images with high hue change requirements). This dynamic adaptation ensures optimal color conversion quality for different image types without requiring manual intervention.
Solution Approach 2:
The patent changes the processing parameters (color conversion method) based on the hue parameters of the input image. By analyzing the hue values and calculating the dominant hue, the system adjusts the color conversion approach to match the image characteristics. This parameter adaptation allows the system to achieve high color conversion quality for both images requiring minimal hue adjustment and those requiring significant hue modification.
2Manufacturing precision
If multiple color conversion methods are prepared for different image types, then the color conversion quality improves, but the processing time and computational load increase
Solution Approach 1:
The patent performs preliminary analysis of the input image by calculating hue values for each pixel and determining the dominant hue before executing the color conversion. This preliminary action allows the system to pre-determine which color conversion method is most appropriate, avoiding trial-and-error processing. By preparing the hue analysis in advance, the system can quickly select the optimal conversion method and execute the color conversion efficiently, minimizing overall processing time while maintaining high quality results.
3Manufacturing precision
If color conversion processing is applied without considering image characteristics, then the processing is fast and simple, but the results do not meet the desired quality standards
Solution Approach 1:
The patent implements a self-service mechanism where the image itself provides the information needed for processing. By calculating the dominant hue from the image's own pixel data, the system automatically determines the appropriate color conversion method without requiring external input or manual configuration. This self-determination approach ensures that each image receives customized color conversion treatment based on its inherent characteristics, achieving high quality results while maintaining processing simplicity through automation.
Data Source
AI summary
An image processing device includes a processor and a memory storing computer-readable instructions therein. The computer-readable instructions, when executed by the processor, cause the image processing device to perform: acquiring a plurality of hue values from a plurality of pixels of the image; determining an index value of the image based on the plurality of hue values, the index value representing a degree of change in hue of the image before and after executing a color conversion on the image; and setting a color conversion method to a first method when the index value represents that the degree of change in hue of the image is comparatively low, and setting the color conversion method to a second method when the index value represents that the degree of change in hue of the image is comparatively high.