Embedding with Pca Based Svd Framelet Transform with Visual Cryptography In Video
Maheswari .S1, Reeba Korah2

1Maheswari.S, Research Scholar, Department of Electronics and Communication Engineering, Sathyabama University, Chennai, India.
2Dr. Reeba Korah, Professor, Associate Professor, Department of Electronics and Communication Engineering, St. Joseph’s College of Engineering, Chennai, India.

Manuscript received on 26 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 1752-1757 | Volume-8 Issue-11, September 2019. | Retrieval Number: K17530981119/2019©BEIESP | DOI: 10.35940/ijitee.K1753.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: The goal of watermarking or steganography is not to restrict access to the original image, to ensure that embedded data remain recoverable. Digital watermarking is a technique providing embedded secure information in images, digital watermarking is the process of inserting data into an image in a way that it can be used to make an assertion about the image. But the proposed system studies a comprehensive approach of embedding secret information inside the video. A hybrid video steganographic scheme based on Framelet transform (FT) with Principal Component Analysis (PCA) is introduced. The main purpose of using PCA is to reduce correlation among wavelet coefficients from wavelet decomposition of each video frame. Using this decomposition, the secret message can be dispersed into the uncorrelated coefficients. Framelet transform helps to decompose video file into several frames. The secret message is embedded inside the principal components of low frequency wavelet coefficients. Achieving high bit rate data embedding is the main task. The proposed system is robust against numerous attacks like geometric attack, filtering, contrast adjustment. After embedding the secret information , (2,2_VSSS) as Visual cryptographic encryption is implemented to maintain the secrecy of this information against hackers.The main aim of this study is to obtain impercibility which is the human eye may not be able to detect differences between the original video and reconstructed image. Even after embedding, the quality of the stego image is good, which is proved by achieving better a PSNR value, and the stego image does not give much variation irrespective of different imaging conditions in the proposed VDWT mechanism. The proposed method achieves high PSNR than the existing methods, and nominal computational time is achieved for retrieving the secret information.
Keywords: Principal Component Analysis (PCA), Singular value decomposition(SVD),2,2 Visual secret sharing scheme (2,2_VSSS), Framelet Transform (FT)
Scope of the Article: