Abstract
The protection of confidential information transmitted over the Internet and restricting access to specific classified data have become a major security and privacy issue. To conceal the existence of such data, digital image steganography is employed hiding the secret in questions within a cover image, arriving at a new image that is virtually indistinguishable from the original. Thus, concealed data within the cover image is prevented from being detected via unauthorized access. In light of the above, certain aspects, such as the capacity of the cover image and the imperceptibility, need to be analyzed and addressed as they constitute the crucial assessment parameters for the performance of the steganography algorithms. In this paper, we compare the steganography algorithms of least significant bit and discrete wavelet transform in terms of efficiency and capacity of concealing multiple images within a single cover image. We cover the mechanism of the embedding and extraction algorithms for multiple numbers of images to come up with knowledgeable remarks. Furthermore, performance of these stego-algorithms has been evaluated with regard to the capacity of the cover image, imperceptibility of the data, and security.