As the rate of visual information interchange on the Internet increases, image encryption has become a key method to secure image information. Here, an efficient image encryption technique was investigated. It employed Genetic Algorithm (GA) and Secure Force Algorithm (SF), along with using chaotic maps' transpositions on bit-level to remove the deep correlations between pixels. This study examined the efficiency of the technique with respect to security analysis, using entropy, histogram, correlation, NPCR, UACI, and sensitivity tests. The obtained results were outstanding, the average entropy was 7.999 (theoretical value is 8). Besides that, the coefficient correlation was almost zero which means that plain and ciphered images have no relevance to each other. Ciphered image's histograms were fairly uniformed, confirming that ciphered images have no statistical resemblance to original images and making no suggestions about how to implement statistical attacks. Because the proposed cryptosystem is more stable in the face of prevalent attacks, it can be used for secure applications and secure communication.