Customized approach to increase capacity and robustness in image steganography

Steganography assumes extremely significant part in the field of data covering up for mystery correspondence. It is a secret correspondence to conceal mystery information in spread media (e.g. content, sound, video, picture and so on). Steganography works in Spatial and Transform domain. Spatial domain achieves better capacity but low robustness while Transform domain achieves robustness along with capacity upto some level. Steganography triad states that it is not feasible to achieve more than two properties in a single approach. Proposed approach enhances capacity and robustness of image steganography using Discrete Cosine Transform (DCT), Lifted wavelet Transform (LWT) and Singular Value Decomposition (SVD). Experimental result shows embedding capacity and robustness against different attacks. Bits per pixel, correlation and PSNR are the parameters used to measure capacity and robustness.