Singular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images

In this paper, a steganography technique for JPEG2000 compressed images using singular valuedecomposition (SVD) in wavelet transform domain is proposed. In this technique, discrete wavelettransform (DWT) is applied on the cover image to get wavelet coefficients and singular valuedecomposition is applied on these wavelet coefficients to get their singular values.Secret data bits areembedded into these singular values using scaling factor. Different compression rates are alsoconsidered for JPEG2000 images after embedding the secret images. Genetic algorithm (GA) is usedto optimize the value of scaling factor (SF). Maximum capacity of the proposed technique is 25% ofcover image size and maximum peak signal to noise ratio(PSNR) values between cover and its stegoimage is more than the PSNR of existing techniques. Embedding capacity of proposed technique is alsohigher than the embedding capacity of existing techniques. Also, PSNR between secret image andextracted image is high and hence the visual quality of the extracted secret image is good enough to thehuman visual system. Steganalysis tests are performed on the stego images to show imperceptibility ofproposed technique.

Singular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images Keywords:

Discrete Wavelet Transform , Singular Value Decomposition , Peak Signal to Noise Ratio , Genetic Algorithm , Scaling Factor