| Title |
3D Animation Image Optimization Technology Based on e K-means Algorithm Combined with DZIP Algorithm |
| Authors |
(Xiang Feng) ; (Maoyi Li) |
| DOI |
https://doi.org/10.5573/IEIESPC.2026.15.5.629 |
| Keywords |
3D animation; K-means; ZIP algorithm; Deflate algorithm; Discrete cosine transform; Animation compression |
| Abstract |
To effectively reduce the storage space of 3D animation and improve transmission speed, this study proposes a 3D animation image optimization and compression method that combines the e K-means algorithm and dual optimization compression algorithm. The e-K-means algorithm optimizes the structure of 3D animated images by ensuring that each cluster is of equal size. The dual optimization compression algorithm combines lossless compression and lossy compression techniques. The results indicated that under certain conditions, the research method had reconstruction errors of 0.26% and 0.41% when processing 3D animated images of characters and landscapes. In the actual processing of 3D animation, the average compression rate reached 47.83%, CPU usage was less than 38%, the average video quality evaluation index reached 92.06, and the average processing time was 14.53 minutes. In summary, the research method can achieve good compression results with lower resource consumption and shorter compression time while ensuring the quality of 3D animation images. This study provides a new technology for efficient compression of 3D animation images, achieving a good balance between quality, efficiency, and resource utilization. It also offers novel solutions for the applications in related fields such as file compression and video processing. |