Image Filter Generation via Mapping Relationship
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Solution Overview
Problem
Users struggle to achieve their desired image effects using self-defined filters due to their lack of professional expertise, resulting in low accuracy and effectiveness of the filters.
Innovation Solution
A method and apparatus that generate an image filter by obtaining a selected effect image, identifying similar images without filter effects, calculating a mapping relationship, and using this relationship as the image filter, thereby transforming the similar images to achieve the desired effect.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users adjust parameters to create self-defined filters, then the filters are more adaptable to user needs, but the accuracy and effectiveness of the filter effect deteriorates due to user lack of professional expertise
Solution Approach 1:
The patent introduces an intermediary system that automatically generates filter mapping relationships by comparing the user's reference image with similar images from a database. This intermediary process bridges the gap between user intent and professional filter effects, eliminating the need for users to manually adjust parameters while maintaining high accuracy through automated image analysis and mapping generation.
Solution Approach 2:
The patent creates a copy of the filter effect by analyzing the mapping relationship between the user's reference image and professionally filtered images in the database. Instead of relying on user parameter adjustments, the system copies the successful filter transformations from the database that produce effects similar to what the user desires, thereby achieving high accuracy without requiring user expertise.
2Manufacturing precision
If pre-defined professional filters are provided, then the filter effect accuracy is high, but the ease of operation deteriorates because users cannot modify filters to achieve desired effects
Solution Approach 1:
The patent enables users to create their own customized filters by simply selecting reference images that represent their desired effect. The system then automatically performs the complex task of generating filter mapping relationships, allowing users to service their own filter creation needs without requiring professional knowledge or manual parameter adjustment.
Solution Approach 2:
The patent changes the fundamental parameter for filter definition from manual parameter adjustment to reference image selection. Instead of requiring users to modify numerical filter parameters, the system accepts image-based input and automatically translates it into appropriate filter settings, dramatically improving ease of operation while maintaining accuracy.
3Adaptability or versatility
If users manually adjust filter parameters, then the adaptability to user needs improves, but the time consumption increases due to the complexity of parameter adjustment
Solution Approach 1:
The patent performs preliminary action by pre-processing and storing professionally filtered images in a database with their corresponding mapping relationships already established. When users want to create a custom filter, the system can quickly search and retrieve similar images from the pre-prepared database, eliminating the need for time-consuming manual parameter adjustment and significantly reducing filter creation time.
Data Source
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AI summary
The present disclosure discloses a method and an apparatus for generating an image filter. The method includes: obtaining a selected effect image having a user's desired filter effect; obtaining a similar image group by using the effect image, the similar image group including at least one similar image having a similar structure to the effect image but without the filter effect; calculating a mapping relationship for transforming the similar image group to the effect image, and using the mapping relationship as the image filter.