Image Processing for Colored Media Object Visibility
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Solution Overview
Problem
Existing image processing methods for printing on colored media, such as corrugated cardboard, often result in diminished object visibility due to inadequate masking processes, leading to poor reproduction of logos, text, and photographs.
Innovation Solution
An image processing apparatus that classifies objects in image data and applies specific image processes based on object type and print medium color information, including border addition for logos, color conversion for text, and contrast enhancement for photographs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a uniform masking process is applied to all image data printed on colored media, then the tint matching of the printed image is improved, but the visibility of various objects (logos, text, photographs) deteriorates
Solution Approach 1:
The patent segments the image data into different object types (logos, text, photographs, other objects) and applies different image processing methods to each type. This segmentation allows the system to avoid uniform masking that would harm visibility while still achieving tint matching through appropriate methods for each object type.
Solution Approach 2:
The patent applies different image processing qualities to different parts of the image data based on object type. For example, logos receive border addition with specific color calculations, text receives color conversion, photographs receive contrast enhancement, while other objects receive masking. This local quality approach ensures each object type gets the optimal processing for its characteristics.
2Manufacturing precision
If the yellow component is reduced from image data to match the print medium color, then the tint of the printed image is improved, but objects with close tint differences from the print medium become insufficiently visible
Solution Approach 1:
The patent applies different image processing qualities to different parts of the image data based on object type. For example, logos receive border addition with specific color calculations, text receives color conversion, photographs receive contrast enhancement, while other objects receive masking. This local quality approach ensures each object type gets the optimal processing for its characteristics.
3Device complexity
If a uniform image processing method is applied to all objects in image data, then the processing complexity is reduced, but the visibility and reproduction quality of various object types deteriorates
Solution Approach 1:
The patent segments the image data into different object types (logos, text, photographs, other objects) and applies different image processing methods to each type. This segmentation allows the system to avoid uniform masking that would harm visibility while still achieving tint matching through appropriate methods for each object type.
Solution Approach 2:
The patent applies different image processing qualities to different parts of the image data based on object type. For example, logos receive border addition with specific color calculations, text receives color conversion, photographs receive contrast enhancement, while other objects receive masking. This local quality approach ensures each object type gets the optimal processing for its characteristics.
Data Source
Figure 1
Figure 2A~2C
Figure 3A~3C
AI summary
A system is equipped with a classifying unit (11) that obtains image data and classifies the types of objects which are included in the image data, and an image processing unit (12) that administers an image process on the image data according to the types of objects classified by the classifying unit (11) and color information of a print medium on which the image data is to be printed.