Raster Linear Gradient Reconstruction for Editable Vector Export
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Solution Overview
Problem
Existing image vectorization techniques for reconstructing linear gradients are resource-intensive and produce inaccurate reproductions, often limited to two color stops, and cannot be easily edited or exported.
Innovation Solution
A digital design system analyzes raster images to determine the direction and color stops of linear gradients, using color channel data to compute optimal color stop locations, reducing the number of stops and improving accuracy while minimizing resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing image vectorization techniques are used to reconstruct linear gradients, then gradient reproduction is achieved, but computing resources are excessively consumed and accuracy is reduced
Solution Approach 1:
The patent extracts only the essential gradient information (direction vector and color stop points) from the raster image rather than processing the entire image. By identifying and extracting only the critical parameters that define the linear gradient, the system achieves accurate reproduction while minimizing computing resource consumption.
Solution Approach 2:
The patent segments the gradient reconstruction process into distinct steps: determining the gradient direction, identifying color stop locations, and generating the vector representation. This segmentation allows the system to focus computational effort only on the necessary components rather than processing all image data uniformly.
2Adaptability or versatility
If existing image vectorization techniques are used, then gradient reconstruction is performed, but the number of color stops is limited to two and editing capability is reduced
Solution Approach 1:
The patent implements a dynamic color stop system where the number and positions of color stops can be freely adjusted during editing. Unlike fixed two-color-stop systems, this approach allows users to add, remove, or modify color stops as needed, providing adaptability while maintaining manageable complexity through an intuitive editing interface.
3Ease of operation
If traditional vectorization methods are applied, then gradient reproduction is achieved, but the output cannot be easily exported or applied to other images
Solution Approach 1:
The patent creates a universal gradient representation system that can be exported and applied to various images and design contexts. By standardizing the gradient data structure with clear direction vectors and color stop definitions, the system enables easy export and reuse across different applications without requiring complex reprocessing or reintegration.
Data Source
AI summary
Embodiments are disclosed for reconstructing linear gradients from an input image that can be applied to another image. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a raster image, the raster image including a representation of a linear color gradient. The disclosed systems and methods further comprise determining a vector representing a direction of the linear color gradient. The disclosed systems and methods further comprise analyzing pixel points along the direction of the linear color gradient to compute color stops of the linear color gradient. The disclosed systems and methods further comprise generating an output color gradient vector with the computed color stops of the linear color gradient, the output color gradient vector to be applied to a vector graphic.