I am studying Image Steganography for hiding audio messages within digital images using the region based approach with Karhunen Loève Transform and discrete wavelet transformation.
1. I am embedding an audio file in a particular region of an image. If my audio file is larger than the region I have selected for embedding on the basis of intensities what technique or method should I use to increase the hiding capacity? Or please suggest any other solution to solve that problem.
2. I want to use Karhunen Loève Transform (KLT) with the combination of LSB. In different research papers I have studied that it increases the hiding limit but I didn't find the mechanism for how it increases the capacity. I'm stuck here but still not able to find any solution. Please suggest what I should do now.
Dear Amina,
With respect to the first question, in order to increase the capacity of steganography, there are different methods that allow embedding several bits per pixel. You can take a look at these papers:
Khodaei, M., Faez, K.: ‘New adaptive steganographic method using least significant-bit substitution and pixelvalue differencing’, IET Image Processing, 2012, 6 (6), pp. 677–686.
Wu, H.-C., Wu, N.-I., Tsai, C.-S., Hwang, M.-S.: ‘Image steganographic scheme based on pixel-value differencing and LSB replacement methods’, Vision, Image and Signal Processing, IEE Proceedings, 2005, 152(5), pp. 611– 615.
In addition you can compress the audio file prior to embedding. MP3 compression would be my choice. For example, if you can embed 4 bits per pixel and your MP3 file is of size 3 MB, you would need 3*10^6*8/4 pixels = 6*10^6 pixels. That is, an image of 6 megapixels will be enough to embed a 3 Megabyte audio file. 3 Megabytes is lots of space. You would be able to embed more than 3 minutes of MP3 audio at 128 kbps.
Unfortunately, I have no experience with the KLT transform, so I cannot help you with the second question.
Best regards,
David
i also read some articles reguarding AES Algorithm but didnt get it propoerly
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