**8. Conclusion**

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 considered.

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

In addition, proposed approaches demonstrate the ability of these techniques to manage image compression.

**Author details**

Rafik Menassel

Tebessa, Algeria

**17**

Department of Mathematics and Computer Sciences, Larbi Tebessi University,

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

\*Address all correspondence to: r.menassel@univ-tebessa.dz

provided the original work is properly cited.

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