International Conference on Communication, Information and Computing Technology (ICCICT-15) 1 Abstract— With the advancement of technology for data security, Steganography is the best technique. Steganography is a technique of hiding information in some other media like in images, video, text, audio. Image are the popular medium for hiding information because in image different planes available with very little variation of pixel values. In this paper calculate the Mean Square Error and Peak Signal to Noise Ratio using XORing algorithm and compare with the existing Steganography algorithms in MATLAB. Keywords — Steganography, MSE, PSNR I. INTRODUCTION Steganography is the art of invisible communication by concealing information inside other information. The word Steganography is resulting from the Greek word “stegos” meaning “cover” and “grafia” meaning “writing” defining it as “covered writing”. In image the pixels has some integer value, based upon the brightness or color. In image at each pixels value we can hide information. Depend upon the image size we have large no. pixels value available for data hiding. For example in 1024*1024 image size we have 1048576 pixels available on which we can hide data. In color image each pixel depth is 24 bits (8bit for red, 8 bit for green, 8 bit for blue).so in image steganography large amount of information hide as compared to we take other media. A Steganography system consists of three elements: cover object (which hide the secret message), the secret message and the stego object (which is the cover object with message embedded inside it) [1]. Figure 1: shows the fundamental block diagram of Steganography. In Steganography cover image and secret data is read then embedding algorithm applied for the secret data to hide in cover object. After the Stego object is transmitted. At receiver side recovery algorithm applied on stego object for extracting secret data. To measure the imperceptibility of steganography several metrics are used. To measure the imperceptibility of steganography several metrics are used. The metrics indicates how similar or different the stego image with cover image. STEGO IMAGE ORIGINAL SECRET DATA Fig. 1 Block Diagram of Steganography The following metrics are used 1. Mean Squared Error (MSE) is computed by performing byte by byte comparisons of the cover image and stego image. The Computation expressed as[2] MSE= M: numbers of rows of cover image N: number of column of Cover Image Fij: Pixel value from cover image Gij: Pixel value from Stego Image Higher value of MSE indicates dissimilarity between Cover image and Stego image. 2. Peak signal to noise ratio (PSNR) measures in decibels the quality of the stego image compared with the cover image. The higher the PSNR better the quality. PSNR is computed using the following equation [2]. PSNR=20 In this paper we calculate MSE, PSNR using XORing algorithm and compare with the existing Steganography algorithm in MATLAB. There is advantage of XORing algorithm because less probability of stego image changes as compared with cover image. Due to this better PSNR and less execution time of XORing algorithm. Improving Mean Square Error and Peak Signal to Noise Ratio using XORing Algorithm in Steganography Maninder Pal Singh, Harmandeep Singh, Harsimranjit Singh mannisingh2009@gmail.com, harmandeepsinghsangha@gmail.com, er_harsimran@yahoo.co.in Research Scholar (GIMET), Assistant Professor (GIMET), Assistant Professor (GIMET) COVER OBJECT SECRET DATA EMBEDDING ALGORITHM EMBEDDING ALGORITHM