ABSTRACT
Due to the developments of the Internet of Health Things (IoHT) and information technologies, secure image transmission between the source and destination is a critical task. Image steganography conceals the secret data in recipient data and transmits the secret data such that data is visible only to the source and destination. This study introduces an effectively improved particle swarm optimization (IPSO) algorithm with a discrete wavelet transform (DWT) for effectively selecting the pixels to embed the secret image. The IPSO-DWT algorithm makes use of a fitness function (FF) concerning cost function (CF). The CF evaluates fitness based on the determination of the edge, entropy, and pixel intensities to evaluate FF. An elaborate experimental analysis takes place to validate the goodness of the IPSO-DWT approach. The outcome ensured the optimal outcome of the IPSO-DWT algorithm in terms of structural similarity (SSIM) and peak signal to noise ratio (PSNR) over compared methods.
