The Recent advancements in digital technology have made it possible for us to share a massive volume of files over the internet. However, the security and integrity of such crucial files become the highest concern in the presence of hostile attackers. The security of these files across the internet is ensured through steganography. Steganography is the art of encoding and embedding secret data in cover file in such a manner so as not to be suspicious for eavesdropper. The aim of the paper is to provide security for the communication between two entities. The cover image is preprocessed; Pixel Value Adjustment (PVA) and Bit Plane Slicing (BPS) are applied to choose the average of four Most Significant Bits (MSB) of Cover Image (CI). The secret image is preprocessed, BPS techniques is applied to choose average of four MSB bits and Forward Discrete Curvelet Transformation (FDCT) is applied on it. The approximation curvelet coefficient i.e., magnitude is embedded in Least Significant Bit (LSB) of CI to produce stego image (SI). The histogram of SI and CI is measured to verify the difference between them. The quality result parameters such as Mean Square Error (MSE) and Peak signal to Noise Ratio (PSNR) are measured, which proves the chance of hidden information being detected is reduced.

steganography, Bit Plane Slicing, curvelet transformation, PSNR, MSE.