A Survey of Digital Image Watermarking Optimization based on Nature Inspired Algorithms NIAs
نویسندگان
چکیده
Nature-inspired algorithms (NIAs) have gained a significant popularity in recent years to tackle hard real world problems and solve complex optimization functions whose actual solution does not exist. Many new algorithms have been developed which show their capabilities almost in every aspect, where rapid solutions are needed. A survey of the NIAs that are used to find the optimal digital image watermarking has been presented in this paper. Different paradigms have been considered, Genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), ant colony optimization (ACO), bee algorithm (BA), cat swarm optimization (CSO), firefly algorithm (FA) and cuckoo search algorithm (CS) that help to find the optimal digital image watermarking.
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