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Published in:
2015 | OriginalPaper | Chapter
Image Steganography – Least Significant Bit with Multiple Progressions
Authors : Savita Goel, Shilpi Gupta, Nisha Kaushik
Published in: Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014
Publisher: Springer International Publishing
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In this paper we have proposed a new technique of hiding a message on least significant bit of a cover image using different progressions. We have also compared the cover image and stego images with histograms and computed the CPU Time, Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Structural Similarity (SSIM) index and Feature similarity index measure (FSIM) of all images with our method and earlier approaches and make an empirical study. Experimental results concluded that our method is more efficient and fast as compared to classical LSB and LSB using prime.