**Conflict of interest**

No potential conflict of interest was reported by the authors.

## **Thanks**

I would to thank the persons that have participated in this work.

*Optimization of Fractal Image Compression DOI: http://dx.doi.org/10.5772/intechopen.93051*

We note that our proposed method has a remarkable effect on compression ratio and remains relative to the resolution; the bats then show themselves, when the number of blocks is greater (more resolution) by offering a compression ratio

On the other hand, the decompression process does not include any complexity compared to the compression process which gives us a decompression time which

Finally, and to be in the set of techniques which try to optimize fractal compression, we will draw up a comparison of our approach with certain existing methods. **Table 7** clearly shows the remarkable difference between our method and

At first glance, our proposed method represents new work which has led to satisfactory results. It proportionally retains the quality offered after compression. Reduced time remains very satisfactory, and the compression rate is better than that

In this chapter, we explained the possibility of optimizing fractal image compression using bioinspired metaheuristics. We focused on the application and, for the first time, recent metaheuristics which are, respectively, the wolf pack algorithm and the bat-inspired algorithm in order to improve the performance of fractal image compression. The results demonstrate the efficiency of the algorithms

Compared to other optimization metaheuristics, our approaches offer better results in many aspects, mainly the encoding and decoding time, the size, and the

No potential conflict of interest was reported by the authors.

I would to thank the persons that have participated in this work.

In addition, proposed approaches demonstrate the ability of these techniques to

greater than that present in the lower resolutions.

*Fractal Analysis - Selected Examples*

offered by most of the methods below.

the others.

**8. Conclusion**

considered.

manage image compression.

**Conflict of interest**

quality.

**Thanks**

**16**

remains optimized and similar for almost all resolutions.
