A robust and secure visible watermarking scheme based on multi

International Journal of Advanced Research in Engineering and Technology (IJARET), ISSN 0976 –
6480(Print), ISSN 0976 – 6499(Online) Volume 4, Issue 2, March – April (2013), © IAEME
240
A ROBUST AND SECURE VISIBLE WATERMARKING SCHEME
BASED ON MULTI WAVELET TECHNIQUE WITH MODIFIRD FAST
HAAR TRANSFORM [MFHWT]
Shefaly Sharma1
, Jagpreet Kaur2
1
(Computer science and engg., Lovely Professional University, Jalandhar, India)
2
(Computer science and engg., Lovely Professional University, Jalandhar, India)
ABSTRACT
Internet has rapidly become popular worldwide and we can see that people are sharing
huge amount of data [photos, videos, audio files and other crucial information] through
Internet. So security of data is becoming a crucial issue. In this paper, we are providing a robust
image watermarking technique. We are going to apply watermarking using multi wavelet
transformation with modified fast Haar wavelet transformation [MFHWT]. Watermarking is a
technique by which user can get copyright protection of the data so that no other person is able
to use it without the permission of its owner
Keywords: Visible Watermarking, MFHWT, Multi Wavelets, PSNR, MSE.
I. INTRODUCTION
There are a lot of changes being made in the field of internet and multimedia. Now days,
it has become possible to create, manipulate, and transmit data at much higher rates due to the
advancements being made. Protection of multimedia content has become challenging due to
the threats of data authentication, and protection against illegal use of data are being increased
so security has become one of the most significant and challenging problems. Watermarking is
one of the popular techniques of image processing. It is used to observe authentication of
licensed user over e-commerce applications and finds its use in illegal applications like copying
multimedia data. A Watermark system consists of key (public key and private key). The use of
key provides security i.e. prevents unauthorized use of data.[7]
INTERNATIONAL JOURNAL OF ADVANCED RESEARCH IN
ENGINEERING AND TECHNOLOGY (IJARET)
ISSN 0976 - 6480 (Print)
ISSN 0976 - 6499 (Online)
Volume 4, Issue 2 March – April 2013, pp. 240-247
© IAEME: www.iaeme.com/ijaret.asp
Journal Impact Factor (2013): 5.8376 (Calculated by GISI)
www.jifactor.com
IJARET
© I A E M E

241
1. Technologies used for Security of Multimedia
1.1 Fingerprinting
It is a technique which is used to protect data from unauthorized redistribution. It is used for
embedding a unique ID called fingerprint into each users copy for representing anti collision
code [ACC], which can help to identify the criminal when an unauthorized link is found[5]
1.2 Cryptography
It is a technique used for secure communication. It converts data into such a form that it can
only be read by the receiver. No other person is able to detect it. So for secure communication it
uses public and private keys. These keys are only known to sender and receiver. If other person
wants to read the data than he first needs to know the key value, and detecting this key value is
not an easy task.[3].
1.3 Steganography
It is a method of hiding message such that only the sender and receiver are able to read the
message. It replaces the bits of useless data in regular files with bits of different, invisible
information. The hidden information can be image or text.[7]
1.4 Watermarking
It is used to provide copyright protection and also provides robustness against various attacks.
Watermarking is one of the popular techniques of image processing. It is used to observe
authentication of licensed user over e-commerce applications and finds its use in illegal
applications like copying multimedia data. A Watermark system consists of key (public key
and private key). The use of key provides security i.e. prevents unauthorized use of data.[3]
2. Visible Watermarking
Visible Watermarking is a process by which we embed data into digital and analog
content in order to identify its owner. And then watermark becomes a permanent part of the
content, even it is distributed to others. These are similar to watermarks used on paper. Visible
watermark change the signal such that it is different from the actual signal. Watermark act as a
seal which is placed on an image to provide copyright protection. For e.g. if a photography
company shares its photographs on internet and wants copyright protection for its data then
they can add a watermark to their data so that no other person can use it with a watermark on it
without their permission. Visible watermark is also used to indicate ownership originals to
monitor and track how his image is being use.[7]
3. Types of Watermark
3.1 Visible Watermarking
It is visible semi-transparent text or image overlapped on the original image. In this we are able
to look at the original image but it also provide copyright protection. These watermarks are
more robust against transformation of image. Thus they are preferred for strong copyright
protection digital form.[7]

242
3.2 Invisible watermarking
It is invisible text or image overlapped on original image. In this we cannot see the image. Only
electronic devices can extract the hidden information to identify the copyright owner. Invisible
watermarks are used to provide authentication.[7]
3.2.1 Robust
In this case, watermark is embedded in such a way that if any changes are done to the pixel
value in the image then it will be unnoticeable and can on it be recovered using decoding
mechanism [7]
3.2.2 Fragile
In this case, watermark is embedded in such a way that if any changes are done in the
watermarked image then the image would either alter or will destroy the watermark.[7]
Figure 1: Types of Watermark
4. Characterstics of Watermark
There are three characteristics of watermarking. If we will increase any one feature then others
get decreased. So we should apply it according to our needs

243
4.1 Maximal Capacity
This is a watermarking technique in which the size of watermark to be applied should be such
that it should not degrade the quality of the image.[4][7]
4.2 Robustness
This is a watermarking technique in which watermarked image should stand against image
compression, noise and cropping effects. [4][7]
4.3 Imperceptibility
Human eye should not be able to make any difference between the original image and the
image to which watermark has been applied.[4][7]
4.4 Security
Our watermark should be able to provide security against unauthorized access to the
watermark.[4][7].
5. Wavelet Transformation
Wavelet transformations are used to solve difficult problems of physics, computers, and
mathematics. I t provides various applications like compression, image processing, signal
processing, etc. It allows difficult problems to be decomposed into elementary form and then
reconstructed with high precision.[6][7]
6. Haar Transform
Haar transformation performs average and differentiation functions for deleting data,
sorting coefficients, reconstructing the matrix such that final matrix is similar to initial
matrix.[7]
7. Modified Fast Haar Wavelet Transform
MFHWT is used for 1D approach. It is faster than fast Haar transformation (FHT). By
applying this method we get improved values of approximation and coefficients that fast haar
transformation (FHT) and Haar transformation (HT) because in MFHWT we need to store half
of the original data and hence memory used in this case is also less.[1]
II. PROPOSED SCHEME
In this paper, to overcome the limitations of DWT with modified Haar wavelet
transform and wavelet packet transform we will design an algorithm which is robust enough
that it can withstand different transmission parameters e.g. Compression filters, Reform attack
,File an original copy.
STEP 1: Take an image
STEP 2: Apply multi wavelet packets.
STEP 3: Input text into decomposed sub bands.
STEP 4: Inverse of transformation.
STEP 5: Obtain image

244
III. EXPERIMENTAL RESULTS
Figure 2: GUI Interface for Visible Watermarking
Figure 3: Watermark applies to the top left of original image

245
Figure 4: Watermark applied at the Right top of the original Image
Figure 5: Watermark applied at the Center of original Image

246
IV. RESULTS AND CALCULATIONS
After the experiments performed on registered Images in MATLAB, we have realized that
above factors determine the quality of watermarked image. Our technique is better than those of
other techniques of digital watermarking, because this technique provides high quality of
information. The quality of image is measured by PSNR.
Table 1: Visible Image Watermarking
Table 2: Text Watermarking
V. CONCLUSION
A number of techniques have been proposed for watermarking; however our proposed
technique is better than other techniques as this technique provide better quality of image after
applying watermark on the original image.
Position
of
Watermark.
Left Top Right Top Left
Bottom
Right
Bottom
Center
Watermar
k
Images
PSNR
Values
47.2473 45.2146 45.8974 45.31 46.2579
Text
Watermark
Images
PSNR Values 26.3609

247
VI. REFERENCES
[1] Ali Rashid, Bhardwaj Anuj ,2009, “Image compression using modified fast haar wavelet
transform, “world applied sciences journal
[2] Damien Adams, Patterson Hasley, 2006, ‘The Haar Wavelet Transform: compression and
Reconstruction’.
[3] Dittmann Jana, Wohlmacher Petra Nahr, 2011, “Using cryptographic and watermarking
algorithms,” IEEE.
[4] Hanna Tawfik Magdy, Saaid Monir Mary, Nossair Bassyouni Zaki, 2011, ‘An Image
Watermarking Scheme Based on Multiresolution Analysis’,IEEE
[5] Hu Defa , Li Qiadiang, 2011, “A simple fingerprinting scheme for large user groups,”
Springer.
[6] Islam R M, Sifuzzaman R M, Ali Z M , 2009, ‘Application of Wavelet transform and its
advantages compared to Fourier transform’, Journal of Physical science.
[7] Sharma Shefaly, Jagpreet Kaur, 2013, “An efficient technique of Watermarking using
Multiwavelets with Modified Fast Haar Wavelet Transform’, IJITEEE.
[8] Dr. Sudeep D. Thepade and Jyoti S.Kulkarni, “Novel Image Fusion Techniques using
Global and Local Kekre Wavelet Transforms”, International Journal of Computer
Engineering & Technology (IJCET), Volume 4, Issue 1, 2013, pp. 89 - 96, ISSN Print:
0976 – 6367, ISSN Online: 0976 – 6375.
[9] G. B. Khatri and D. S. Chaudhari, “Digital Audio Watermarking Applications and
Techniques”, International journal of Electronics and Communication Engineering &
Technology (IJECET), Volume 4, Issue 2, 2013, pp. 109 - 115, ISSN Print: 0976- 6464,
ISSN Online: 0976 –6472.
[10] Sambhunath Biswas and Amrita Biswas, “Fourier Mellin Transform Based Face
Recognition”, International Journal of Computer Engineering & Technology (IJCET),
Volume 4, Issue 1, 2013, pp. 8 - 15, ISSN Print: 0976 – 6367, ISSN Online: 0976 – 6375.

A robust and secure visible watermarking scheme based on multi

More Related Content

What's hot (19)

Viewers also liked (20)

Similar to A robust and secure visible watermarking scheme based on multi (20)

More from IAEME Publication (20)

Recently uploaded (20)

A robust and secure visible watermarking scheme based on multi