An Authentication Technique in Frequency Domain through Daubechies Transformation (ATFDD)

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Madhumita Sengupta
J. K. Mandal


In this paper a Daubechies based steganography in frequency domain termed as ATFDD has been proposed where the cover image is transformed into the time domain signal through Daubechies forward transformation, resulting four sub-image components as, “Low resolutionâ€, “Horizontal orientationâ€, “Vertical orientation†and “Diagonal orientationâ€. Secret message/image bits stream in varying positions are embedded in 3rd
Keywords: Steganography; Daubechies; Wavelet; ATFDD; Mean Square Error (MSE); Peak Signal to Noise Ratio (PSNR); Image fidelity (IF); coefficient of every sub image, along with delicate adjustment followed by reverse transformation to generate embedded/encrypted image. The decoding is done through the reverse procedure. The experimental results against statistical and visual attack has been computed and compared with the existing technique like Yuancheng Li’s method, Region-Based method and SCDFT in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR) and Image Fidelity (IF) analysis, which shows better performances in ATFDD.


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