Hierarchical Grid Interpolation for Image Warping

The image is divided into multiple partitions that form a hierarchical grid structure. Each partition can be processed independently with appropriate grid density, allowing fine-grained processing where needed and coarse processing where acceptable, thus balancing image quality and processing efficiency

Different regions of the image are assigned different grid densities based on their importance and content characteristics. Critical regions use finer grids to maintain image quality, while less critical regions use coarser grids to reduce processing load, achieving local optimization of the warping process

The hierarchical grid structure segments the processing into multiple levels, where a coarse grid provides the overall framework and finer grids provide detailed corrections only where necessary. This segmentation eliminates the need to apply fine-grained processing across the entire image, significantly reducing total processing time while maintaining quality where needed

Instead of applying uniform fine-grid processing across the entire image, the system applies processing at multiple hierarchical levels, using finer grids only partially in regions where image quality is critical. This partial action approach achieves sufficient image quality without the excessive processing cost of applying fine grids everywhere