Fractal Image Compression (FIC) is a highly familiarized and effective compression algorithm in the field of image compression. This approach is based on identifying fractals within an image and generating repeating blocks in response to numerical changes. The major drawback of FIC is the significant amount of time required for the encoding process, which can be addressed by using optimization algorithms that are known to converge efficiently, thus optimizing the encoding process for better resource utilization. In this study, a new image compression model inspired by dolphins is presented that utilizes a metaheuristic algorithm. The evaluation of the suggested algorithm is compared to other prevailing techniques which show improvements in aspects like compression ratio, compression time, and PSNR.

Image compression, Fractal Image Compression (FIC), metaheuristic, fractal, Dolphin Echolocation Algorithm (DEA).