State-of-the-art soft computing techniques in image steganography domain

This paper reviews major works of soft computing (SC) techniques in image steganography and watermarking in the last ten years, focusing on three main SC techniques, which are neural network, genetic algorithm, and fuzzy logic. The findings suggests that all these works applied SC techniques either during pre-processing, embedding or extracting stages or more than one of these stages. Therefore, the presence of SC techniques with their diverse approaches and strengths can help researchers in future work to attain excellent quality of image information hiding that comprises both imperceptibility and robustness.