Boundary-Aware AI Coloring for Line Drawing Image Processing
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Solution Overview
Problem
Existing methods for coloring line drawings rely on manual user input, leading to low efficiency and unsatisfactory results, requiring manual re-coloring when adjustments are needed.
Innovation Solution
An image processing method that involves acquiring initial color prompt information from a user, generating an initial colored image, allowing for user modifications, and refining the colors based on target color prompt information to create a final colored image, utilizing trained models for automated coloring and region segmentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual user input is used for coloring line drawings, then user control over coloring is achieved, but coloring efficiency is low and the process is time-consuming
Solution Approach 1:
The system enables automated coloring by allowing the line drawing to serve itself through AI processing. The coloring model automatically identifies regions and assigns colors based on the line drawing input, eliminating the need for manual user input while maintaining coloring quality. This self-service approach directly resolves the contradiction by achieving both high productivity and reduced manual operation.
Solution Approach 2:
The patent replaces the mechanical manual coloring process with an automated AI-based coloring model. The mechanical interaction of manually selecting regions and applying colors is substituted with an intelligent system that automatically processes the line drawing and generates colored images, thereby improving efficiency while maintaining ease of use through automated intelligence.
2Productivity
If automated coloring models are used, then coloring efficiency is improved, but flexibility for user modifications is reduced
Solution Approach 1:
The system implements a dynamic multi-round processing mechanism where the coloring model can be repeatedly applied with different parameters. Users can modify coloring results by adjusting temperature, top_k, and other parameters across multiple rounds, allowing the system to adapt to user preferences while maintaining automated efficiency. This dynamic approach resolves the contradiction by enabling both high productivity and flexible user modifications.
Solution Approach 2:
The patent incorporates a feedback loop where users can review generated colored images and provide modification inputs. The system uses this feedback to adjust coloring parameters and regenerate images in subsequent rounds. This feedback mechanism ensures that automated coloring remains flexible and adaptable to user requirements while maintaining high efficiency through iterative refinement rather than manual re-coloring.
3Manufacturing precision
If multiple coloring rounds are implemented, then coloring precision and user satisfaction are improved, but processing time increases
Solution Approach 1:
The system performs preliminary coloring in the first round using optimized parameters to generate a baseline colored image quickly. Subsequent rounds then focus on refining specific aspects based on user feedback. This preliminary action approach reduces overall processing time by avoiding complete re-coloring while still achieving high precision through targeted refinements in later rounds.
Solution Approach 2:
The patent implements partial re-coloring in subsequent rounds, where only specific regions or aspects are reprocessed based on user modification inputs rather than complete re-coloring. This partial action approach maintains coloring precision for modified areas while significantly reducing processing time compared to full re-coloring, thereby resolving the contradiction between precision and time.
Data Source
AI summary
An image filling method for reducing filling process in producing animation. The image filling method includes the steps of extracting color information of each pixel of a line drawing to be filled, wherein said line drawing to be filled includes a coloured line which is a boundary line dividing said line drawing to be filled into regions, a color of the boundary line specifying a color used for filling the boundary line; extracting boundary line information representing whether said each pixel is on the boundary line or not by using said color information; filling said line drawing except the boundary line by using said boundary line information; and filling said colored line by using said boundary line information.