Brush Effect Picture Generation via Pattern Extraction
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Solution Overview
Problem
Existing brush effect pictures in image editing tools have low definition, whether provided by the tool or customized by users.
Innovation Solution
A method to generate a brush effect picture by determining a pattern extraction area on a display interface, obtaining a first brush effect picture, and enhancing its definition to create a second brush effect picture using a neural network or converting it to a vector diagram.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If a brush effect picture is provided by the image editing tool or customized by the user, then the brush effect picture can be directly added to the image, but the definition of the brush effect picture is low
Solution Approach 1:
The patent performs preliminary actions by capturing a screenshot of the display interface and extracting patterns from the displayed content before the actual brush effect application. This preliminary pattern extraction enables high-definition brush effect pictures to be generated without requiring complex real-time processing during image editing operations.
Solution Approach 2:
The patent creates a copy of the display interface content through screenshot capture and pattern extraction. By copying the visual patterns from the display interface and converting them into brush effect pictures, the system achieves high definition while simplifying the overall process compared to direct vectorization or manual creation methods.
2Manufacturing precision
If the brush effect picture is captured from the display interface, then the definition can be improved, but the process requires screenshot capture and pattern extraction
Solution Approach 1:
The system performs self-service by automatically capturing screenshots and extracting patterns from the display interface content. The pattern extraction module autonomously identifies and extracts relevant patterns without requiring manual intervention, thereby improving definition while managing processing complexity through automation.
Solution Approach 2:
The patent introduces an intermediary process involving screenshot capture and pattern extraction as intermediate steps between the display interface and the final brush effect picture. This intermediary approach enables high-definition pattern transfer while organizing the complex processing into manageable, sequential stages.
Data Source
AI summary
A method for generating a brush effect picture includes: determining a pattern extraction area on a display interface in response to an area selection operation on the display interface of a display; obtaining a first brush effect picture based on the pattern extraction area, where a pattern of the first brush effect picture is a pattern corresponding to the pattern extraction area on the display interface; and obtaining a second brush effect picture based on the first brush effect picture, where the pattern of the first brush effect picture is the same as a pattern of the second brush effect picture, and definition of the second brush effect picture is greater than definition of the first brush effect picture.