In this paper, the steganographic method Yang et al. is reviewed. The leastsignificant- bit (LSB)-based approach is a popular type of steganographic algorithms in the spatial domain. The typical LSB-based approaches, including LSB replacement, LSB matching, LSB matching revisited, deal with each given pixel/pixel-pair without considering the difference between the pixel and its neighbors. In most existing approaches, the pixel/pixel-pair selection is mainly determined by a pseudorandom number generator (PRNG) while neglecting the relationship between the image content and the size of the secret message. By doing this, existing steganographic methods can spread the secret data over the whole stego image randomly even at low embedding rate. Such embedding schemes do not perform well in terms of the security or visual quality of the stego image. In this paper, an edge adaptive scheme is proposed and applied it to the LSB matching revisited (LSBMR) based method. This scheme uses the absolute difference between two adjacent pixels as the criterion for region selection. For lower embedding rates, only sharper edge regions are used while keeping the other smoother regions as they are. When the embedding rate increases, more edge regions can be released adaptively for data hiding by adjusting just a few parameters. This paper presents the results of analyzing the performance of adaptive edge-based LSB steganography with the proposed method on the basis of peak signal noise ratio (PSNR) to evaluate the image quality. © 2014 Research India Publications.