Adaptive Mask Image Enlargement Using Property-Based Interpolation
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Solution Overview
Problem
Existing image editing systems face challenges in enlarging mask images in a manner that accurately reflects the user's intention, particularly when using different interpolation methods for mask images with specific properties.
Innovation Solution
The system employs a method to generate and enlarge mask images by using different interpolation methods based on the properties of the mask image, such as whether it is a spot color or a regular color, to ensure accurate representation and quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a single interpolation method is used for all mask images, then the processing is simple and fast, but the enlargement quality does not accurately reflect user intention for different mask image types
Solution Approach 1:
The patent applies different interpolation methods based on the local properties of the mask image. Specifically, it determines whether to use nearest-neighbor interpolation or bilinear interpolation by checking if the mask image has a predetermined property (such as being a spot color mask). This allows each mask image to receive the appropriate interpolation treatment tailored to its specific characteristics, thereby improving enlargement quality while maintaining manageable system complexity through property-based classification.
2Measurement precision
If different interpolation methods are applied based on mask image properties, then the enlargement accuracy improves, but the processing complexity increases
Solution Approach 1:
The patent changes the interpolation parameter (method selection) based on the properties of the mask image. By detecting whether the mask image has a predetermined property (such as spot color characteristics), the system dynamically selects between nearest-neighbor and bilinear interpolation methods. This parameter change approach allows the system to adapt the interpolation process to the specific needs of different mask images, improving representation accuracy while keeping the processing logic relatively simple through clear property-based decision rules.
Data Source
AI summary
An information processing system is provided. A first generation unit generates a reduced image in which an original image is reduced. A display control unit causes a display unit of a predetermined apparatus to display the reduced image. A second generation unit generates, based on an input to the predetermined apparatus of a user, a mask image to be overlapped on the reduced image displayed on the display unit. An enlargement unit enlarges the mask image by using a different interpolation method in a case where the mask image has a predetermined property and in a case where the mask image does not have the predetermined property.