Adaptive Image Hiding Algorithm Based on Classification

An image classification method based on wavelet transform was brought up, and it adopted the human visual features model and analyzed the image parameter characteristics in smooth and texture regions. It put up optimum carrier image selecting method of original image to be hidden while analyzing the differences between the carrier and being hidden image. On the premise of setting a threshold, it made the carrier image selection being adaptive and effective. Compared with the current typical methods of image hiding, our algorithm has a better effect in image hiding and extracting. Its computation efficiency has been significantly improved, and the security of the algorithm is also higher.