Image Warping via Pixel Group Simplification
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Solution Overview
Problem
The existing image warping process is inefficient and inconvenient for users, requiring multiple steps to adjust pixels, and results in a linear, non-smooth image transformation.
Innovation Solution
An image adjusting method that simplifies original pixels to a fewer number of simplified pixels, allowing users to set an initial and target pixel, automatically finding intermediate pixels and adjusting them pixel by pixel to perform image warping, thereby reducing the number of steps and enhancing smoothness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the user adjusts pixels step by step in the original image, then the image warping process is performed, but the number of adjusting steps increases correspondingly with more pixels, making the adjustment inconvenient and inefficient
Solution Approach 1:
The patent divides the original image into multiple simplified pixel groups, where each simplified pixel represents multiple original pixels. This segmentation reduces the total number of pixels that need to be adjusted individually, thereby decreasing the number of adjusting steps while maintaining the overall image warping effect.
Solution Approach 2:
The patent introduces simplified pixels as intermediary elements between the user and the original pixels. The user interacts with simplified pixels rather than individual original pixels, and the system automatically maps these simplified pixel adjustments to the corresponding original pixels, reducing operational complexity.
2Manufacturing precision
If the user adjusts pixels sequentially from (3,0) to (3,6), then the image warping process is completed, but the adjustment is linear and the adjusted image is not smooth
Solution Approach 1:
By grouping original pixels into simplified pixels, the patent enables parallel adjustment of multiple pixels simultaneously. This non-linear adjustment approach allows for smoother image transitions by adjusting groups of pixels together rather than sequentially, improving image smoothness while managing complexity through the simplified pixel structure.
3Manufacturing precision
If more original pixels are adjusted individually, then the image warping accuracy is improved, but the time required for the adjusting process increases
Solution Approach 1:
The patent creates simplified pixels that copy and represent groups of original pixels. By adjusting the simplified pixel copy, the system automatically applies the adjustment to all corresponding original pixels simultaneously, maintaining pixel adjustment accuracy while significantly reducing the time required for the adjusting process.
Data Source
AI summary
An image adjusting method includes steps of displaying an image, wherein the image includes M*N original pixels and M and N are positive integers larger than 2; simplifying the M*N original pixels to be P*Q simplified pixels, wherein P is a positive integer smaller than M and larger than 1, and Q is a positive integer smaller than N and larger than 1; setting an initial pixel and a target pixel within the P*Q simplified pixels; finding a plurality of intermediate pixels between the initial pixel and the target pixel; and adjusting the initial pixel, the intermediate pixels and the target pixel pixel by pixel.