优化分形图像压缩，提升效率与压缩比
Optimization of Fractal Image Compression
- 引入盒计数法估算分形维数，易于集成且计算简单
- 实验显示压缩比提高，压缩时间显著缩短
- 适合需要高压缩比的图像存储与传输场景
分形图像压缩（FIC）是一种利用图像内部自相似性实现高压缩比的有损压缩技术，但其压缩过程计算开销大。本文研究优化方法以提升FIC效率，重点在于提高压缩比并降低计算时间。提出一种新颖的盒计数法用于估算分形维数，相比其他算法更易融入FIC流程。实验结果表明，采用这些优化技术后，压缩比与压缩时间均得到显著改善。
原文摘要 · Abstract (English)
Fractal Image Compression (FIC) is a lossy image compression technique that leverages self-similarity within an image to achieve high compression ratios. However, the process of compressing the image is computationally expensive. This paper investigates optimization techniques to improve the efficiency of FIC, focusing on increasing compression ratio and reducing computational time. The paper explores a novel approach named the Box Counting Method for estimating fractal dimensions, which is very simple to integrate into FIC compared to other algorithms. The results show that implementing these optimization techniques enhances both the compression ratio and the compression time.
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