Image Deformation Vector Control for Real-Time Processing

The patent segments the image deforming process into distinct operational stages: acquiring control points from user input, calculating vectors between points, determining deforming areas, and performing targeted pixel displacement. This segmentation eliminates the need for complex global image analysis while maintaining deforming quality through localized operations on specific image regions defined by control points.

The patent performs preliminary actions by directly acquiring control points from user input before the actual deforming operation. The vector calculation and deforming area determination are prepared in advance based on simple geometric relationships, avoiding the need for complex algorithms during the actual image processing phase, thus reducing real-time calculation burden.

The patent changes the parameters used for space mapping from complex characteristic quantities derived through sophisticated algorithms to simple geometric parameters: control point coordinates, vector directions, and displacement distances. These parameters are directly obtained from user input and basic calculations, significantly reducing algorithmic complexity while preserving mapping accuracy through precise control of displacement vectors.

The patent uses a simplified model where control points and vectors serve as direct representations of user intent, copying the essential deforming information without requiring complex intermediate analysis. This approach replaces elaborate characteristic quantity extraction with straightforward coordinate and vector calculations, reducing device complexity while maintaining functional accuracy.

The patent applies local quality by performing deforming operations only on specific image regions defined by control points and vectors, rather than processing the entire image with higher-order functions. Each pixel's displacement is calculated based on its local position relative to control points, using simple linear interpolation instead of computationally intensive higher-order analysis, thus maintaining precision while reducing calculation volume.

The patent implements partial action by applying deforming operations only to the necessary portions of the image identified by control points, rather than performing exhaustive higher-order analysis on the entire image. This selective approach achieves required deforming precision with minimal calculation by focusing computational effort only where displacement is needed.