06-09-2016, 04:11 PM
1453320538-WYDP51.doc (Size: 929.5 KB / Downloads: 107)
Abstract:
Copyright protection and authentication have become increasingly more important in daily life. The digital watermark is one of the techniques invented to tackle this issue. In this project, a digitally invisible watermark is embedded in a QR code image by means of wavelet transform. In the embedding process, a binary image, logo, is transformed into a corresponding watermark and then embedded into a selected subband. The experimental results illustrated that, for all the cases considered in this project is more robustness to attacks and as such it can serve as a viable copyright protection and authentication tool.
Digital watermark is a pattern of bits inserted into a digital image, audio or video that identifies the copyright and authenticates information. The goal of watermark technique is to embed the secret information seamlessly hidden within into original message, which is robust against attacks. In recent years, some researchers have proposed the adoption of watermark techniques. The watermark can also be inserted in the original spatial domain of the image. The main disadvantage of spatial domain was that it easy to be hacked and attacked. The proposed method embedded the copyright image into the original image using (N, N) secret sharing scheme. This method could resist contaminations such as JPEG compression, resize and noise addition. There are many techniques to embed the watermark into frequency domain of the original image. The techniques operating on a frequency domain use transformations such as Discrete Cosine Transform (DCT), Discrete Fourier Transform (DFT) and Discrete Wavelet Transform (DWT). a watermark technique of multispectral image is performed in the wavelet transform. the authors proposed a scheme for color images using wavelet transform based on texture properties and secret sharing.
Applications:
1. Industrial applications.
2. Defense applications.
Advantageous:
1. Very fast compared to the conventional segmentation methods.
2. Simple to design so that system complexity is low.
3. More security for the secrete data.
Future scope:
1. We are trying to find more efficient ways to withstand more severe attacks such as stronger noise, high compression, geometric distortion and occlusion etc.
Conclusion
This paper presented a digital watermarking technique ,whereby a binary image is watermarked an embeded in a QR code image . The embedding process is presented in a LH, HL or HH subband based on wavelet transform. The experimental results demonstrated that the algorithm can be recover the watermark with an acceptable visual quality.