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In artificial intelligence, artificial immune systems (AIS) are a class of computationally intelligent, rule-based machine learning systems inspired by the principles and processes of the vertebrate immune system. The algorithms are typically modeled after the immune system's characteristics of learning and memory for use in problem-solving.
A pixel cost reassignment algorithm based on artificial immune system
ActiveCN115239543BDigital data protectionImage data processing detailsPattern recognitionArtificial immune system
This invention discloses a pixel cost redistribution algorithm based on an artificial immune system for digital image information hiding. Under a model minimizing additive distortion, the algorithm adjusts the pixel modification probability distribution obtained from a given cost function and constructs an immune information hiding model to dynamically optimize the adjustment method of the pixel modification probability distribution, thereby rationally redistributing the modification cost. This concentrates modified pixels in areas of the carrier image that are difficult to detect. The method is applicable to various advanced cost functions, overcomes the problem that existing heuristic adaptive steganography algorithms, which rely heavily on empirical design, struggle to achieve optimal security, and can improve the security of state-of-the-art spatial image steganography algorithms, demonstrating practical value.
Owner:SICHUAN UNIV