ParFor and co-distributor parallel approaches for implementing fractal image compression based genetic algorithm

This research focuses on using Two MATLAB parallel approaches (ParFor and Co-distributor) to implement fractal image compression based on genetic algorithm (GA) to decrease processing time with maintaining quality of the reconstructed images. Many experiments based on these two approaches (ParFor and Co-distributor) were conducted with comparisons. The research results showed that the compression computation time can be reduced when decreasing the GA population size and increasing number of workers in parallel computing. Best results obtained from implementing Co-distributor approach with 6 workers and 150 population size. The execution speed for Co-distributor reached 3_s with PSNR equal 34.89_db and CR equal 90.65%.