OctreeQuantisierung

Octree Quantisierung is a technique used in computer graphics and image processing to reduce the number of distinct colors in an image or a 3D model. It achieves this by organizing the color space into a hierarchical data structure called an octree. An octree recursively divides a cube, representing the entire color space, into eight smaller cubes. This process continues until a desired level of detail is reached or until each leaf node of the octree contains a sufficiently small number of colors.

The quantization process involves traversing the image or model's colors and mapping them to the closest representative color stored in the octree's leaf nodes. During the construction of the octree, colors are accumulated in nodes. When a node becomes too full, it is subdivided. This hierarchical subdivision allows for efficient representation and manipulation of color data, particularly for images with many colors.

The primary benefit of Octree Quantisierung is the reduction of memory usage and processing time associated with color manipulation. By reducing the number of unique colors, it can significantly compress image data and speed up rendering operations. This technique is particularly useful for applications where memory or computational resources are limited, such as in embedded systems or real-time graphics. The trade-off is a potential loss of color fidelity, although the octree structure aims to minimize this by prioritizing visually significant colors.