25-08-2017, 09:32 PM
SECRET DATA HIDING IN IMAGE USING ENCRYPTION AND DECRYPTION KEY
SECRET DATA .pptx (Size: 87.55 KB / Downloads: 29)
Objective
Digital images store large amounts of data and information. This data can be manipulated to some extend without being detected by human eyes.
DWT(Discrete Wavelet Transform) are applied this technique
Literature survey Buyer-sellar watermarking protocol
Watermarking protocol used for only send the image in embedding to the content owner image
Seller dose not exact watermarked copy that the buyer services
visible watermarking techniques
Public key cryptography and private key are used
Disadvantages
Communicate only image seller, buyer and also the third parity can see that the image
No security
Restrict our invisible process
Reversible data hiding
Lossless data embedding techniques
Two techniques are used
i) Payload extractions is robust
ii) Feature of the images
Spatial domain algorithm are used
There are comprises of three components
i) Prediction
ii) context modeling and quantization
iii) conditional entropy coding
Existing system
Watermaking techniques may be applied in the without fear of image destruction due to lossy compression because they are more integrated into the image
Algorithm used for DCT (Discrete Cosine Transform) which is used in JPEG compression
It is a spatial domain
DCT depend on time or frequency domain
Proposed system
DWT(Discrete Wavelet Transform)
The discrete wavelet transform (DWT) is being increasingly used for image coding.
This is due to the fact that DWT supports features like progressive image transmission (by quality, by resolution), ease of compressed image manipulation, region of interest coding, etc.
DWT has traditionally been implemented by convolution.
Conclusion
A novel lossless (reversible) data embedding technique –
Lossless G-LSB
Embedding capacity is high
Low distortion