Image Processing Region Segmentation for Accurate Color Conversion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing image processing systems face challenges in accurately identifying and distinguishing overlapping objects in digital originals, leading to inappropriate color conversion methods that result in color degradation and loss of object distinguishability in printed outputs.
Innovation Solution
An image processing apparatus sets a first region for color conversion and a second region that does not participate in the conversion, using color information from the first region to determine an appropriate color conversion method, and applies it to both regions, thereby reducing color degradation and maintaining object distinguishability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If color conversion method is set based on merged object regions, then processing is simplified, but color accuracy deteriorates
Solution Approach 1:
The patent segments the image processing into two distinct regions: a first region for setting color conversion methods based on pixel values and color gamut analysis, and a second region for applying the determined color conversion method. This segmentation allows color conversion to be set based on actual object characteristics rather than merged regions, improving color accuracy while maintaining processing efficiency through automated region differentiation.
2Productivity
If color conversion is applied to merged object regions, then processing speed is improved, but object distinguishability deteriorates
Solution Approach 1:
The patent applies local quality by determining color conversion methods specifically for the first region based on its pixel values and color gamut characteristics, then applying this method to both the first and second regions. This ensures that color conversion is optimized for the specific characteristics of the first region while maintaining object distinguishability, rather than applying a generic conversion to merged regions.
3Adaptability or versatility
If color conversion method is set taking into account unnecessary colors, then comprehensive coverage is improved, but color conversion accuracy deteriorates
Solution Approach 1:
The patent extracts and processes pixel values and color gamut information specifically from the first region to determine the color conversion method. By focusing on the relevant first region rather than including unnecessary colors from merged regions, the system achieves accurate color conversion while maintaining comprehensive coverage of the image through subsequent application to the second region.
Data Source
AI summary
An image processing apparatus sets, in an image representing inputted image data, a first region, which is used to set a color conversion method for image data, and a second region, which is not used to set the color conversion method; as a result of the setting, in a case where the first region and the second region are included in the image, sets the color conversion method based on image data of the set first region; determines the color conversion method set as a color conversion method to be applied to a region including a portion of at least the first region and the second region in the image, and generates image data after color conversion using the determined color conversion method.