International Journal of Engineering Trends and Technology (IJETT) – Volume 34 Number 2- April 2016
Efficient image steganography with image
quality control
Priya Mishra#1, K.Ulagapriya#2, K, Kalaivani#3, A.Saritha #4
PG Student/ CSE Department, Vels University #1
AP/ CSE Department, Vels University #2
AP/ CSE Department, Vels University #3
AP/ CSE Department, Vels University #4
Abstract— Steganography is a popular technique to
hide a data in various forms of media like image,
video etc. There are several method of steganography
to achieve the best and optimum solution to
manipulate the image and message data,. The
proposed system offers major implementation of
embedding and extracting the message from an
image. There are four main phases contains in the
proposed technique which are Huffman encoding of
message, image compression, image transformation ,
matrix encoding .Jpeg image contains the vector
data of pixel values, which will be used further for
matrix encoding . The jpeg image will be converted
to bit map format to perform per mutative straddling
.This method to encode a message into image is fast
in terms of time and space complexity. Visual
statistical attacks reduces with taking control over
image quality are the main advantage of proposed
system.
Keywords— Steganography, cover image, stego
image, Huffman encoding, jpeg encoding.
Introduction
The rapid development of data transfer through the
internet made it easier to send the data to the
destination. There is a lot of transmission media to
transfer the data to destination. So in order to send the
secure data to the destination without any
modifications many approaches are available like
"Cryptography" and "Steganography". This paper is
deals with ―Image Steganography‖. Steganography
are the technique of hiding private or sensitive
information within something that appears to be
nothing out of the usual.
Unfortunately it is
sometimes not enough to keep the contents of a
message secret, it may also be necessary to keep the
existence of the message secret. The technique used
to implement this, is called steganography.
Steganography is the art and science of invisible
communication. This is accomplished through hiding
information in other information, thus hiding the
existence of the communicated information. The
word steganography is derived from the Greek words
―stegos‖ meaning ―cover‖ and ―grafia‖ meaning
―writing‖ defining it as ―covered writing‖. In image
steganography the information is hidden exclusively
in images. The four main categories of file formats
ISSN: 2231-5381
that can be used for steganography are text, image,
audio and video. Given the proliferation of digital
images, especially on the Internet, and given the large
amount of redundant bits present in the digital
representation of an image, images are the most
popular cover objects for steganography.
Research scope
The aim of this paper is to introduce a new robust
and secure image steganography system, which is
based on a combination of two powerful algorithms
(per mutative straddling and matrix encoding and
improved f5 algorithm), this model preserves the
quality of image one can reduce the size with most
suitable quality of a image.
LITERATURE SURVEY
Year 2013 Soni, A.; Jain, J.; Roshan, R.Fragmentary
Fourier change (FrFT), [1] Investigated on
speculation of the
traditional Fourier change,
presented years prior in arithmetic writing. The
upgraded calculation of partial Fourier change, the
discrete variant of FrFT appeared DFrFT. This
investigation of outlines the upside of discrete
fragmentary Fourier change (DFrFT) when contrasted
with different changes for steganography in picture
handling. The outcome appears same PSNR in both
space (time and recurrence) however DFrFT gives
preference of extra stego key. The request parameter
of this change. In the year of 2013 Akhtar, N.; Johri,
P.; Khan, S., [2] Executed a variety of plain LSB
(Least Significant Bit) calculation. The stego-picture
quality has been made strides by utilizing bit-reversal
procedure. LSB technique moving forward the PSNR
of stego image. Through putting away the bit designs
for which LSBs are modified, picture might be
acquired effectively. For the enhancing the power of
steganography, RC4 calculation had been actualized
to accomplish the randomization secluded from
everything message picture bits into spread picture
pixels as opposed to putting away them
consecutively. This strategy haphazardly scatters the
bits of the message in the spread picture and in this
manner, harder for unapproved individuals to remove
the first message. The exhibited strategy indicates
great upgrade to Least Huge Bit method in thought to
security as well as picture quality. In the year of 2013
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International Journal of Engineering Trends and Technology (IJETT) – Volume 34 Number 2- April 2016
Prabakaran, G.; Bhavani, R. what's more, Rajeswari
P.S.
[3] Investigated on Medical records are to a great
degree touchy patient data a multi secure and
heartiness of restorative picture based steganography
plan is proposed. This technique gives an effective
and capacity security instrument for the insurance of
advanced medicinal pictures. Creators proposed a
feasible steganography technique utilizing Integer
Wavelet Transform to ensure the X-ray medicinal
picture into a solitary holder picture.
[4] Displayed the novel plan installs information in
whole number wavelet change coefficients by
utilizing an editing capacity in a 8×8 square on the
spread picture. The ideal pixel change process has
been connected in the wake of inserting the message.
Creators utilized the recurrence area to build the vigor
of our steganography strategy. Number wavelet
change maintains a strategic distance from the
coasting point accuracy issues of the wavelet channel.
Result demonstrates that the strategy beats versatile
steganography method taking into account number
wavelet change as far as crest sign to clamor
proportion and limit. In the year of 2012 Das, R.
furthermore, Tuithung, T.
Praposed Techniques
The proposed method uses improved version of f5
stenographic algorithm which is a most popular and
visual statistics attack safe. This algorithm contains
two phases as ‗Embedding‘ and ‗Extracting‘.
Embedding phase involves steps to embed the given
message into image and another one to extract the
same message from the image.
Algorithim Design
There two different phases of this algorithm are given
below. This algorithm also involves the steps of
Huffman encoding to short the length of given
message because it leads to preserve the quality of
stego image. In case of other image format as bmp or
tif, it must be converted into jpeg file format to
proceed further.
PREVIOUS RESEARCH
Md. tahir in [1] exhibited another steganography
system to conceal vast information in Bitmap picture
utilizing stream manufacturer and equality . This
technique utilizes the idea of odd and even equality
for implanting and removing of mystery message.
This technique is a change of Least Significant Bit
(LSB) strategy for concealing data in pictures.
Rakesh desai [2] displayed another steganography
method for concealing information in pictures
utilizing equality checker. This strategy utilizes the
idea of odd and even equality for insertion and
recovery of message. This strategy is a change over
prior techniques such as slightest critical piece
technique and sixth, seventh piece technique for
concealing data in pictures.
Alam et al in [7] displayed a depiction on how one
can utilize the human vision framework and
immaculate steganography to build the span of the
information that we need to install in the picture.
They concentrate on the property of human vision
framework that expands the measure of information
covering up in the bitmap (.bmp) and JPEG (.jpg)
pictures for all intents and purposes. They upgrade
the work of LSB and attempt to turn out with a
superior result for both picture quality and the
measure of information can be covered up inside it.
They turn out with two methodologies; initial one is
the 3-3-2 approach with no confinements on the kind
of pictures being utilized and can reach up to 33.3%
of size of shrouded information, and the second one is
the 4-4-4 approach which increase 50%.
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Embedding
Embedding requires an image and a text file, which
contains the message to embed into given image. We
can perform the stereography with lossy or lossless
compression based upon of choice of format of image
has been taken to inter change.
A SVG (scalar vector graphics) image is a high
quality vector data based image format which can be
used as a stego image by matrix encoding.
1. Read the text or string from text file.
2. Perform Huffman encoding to short the length of
message and convert into byte form.
3. JPEG compressor divides the uncompressed image
into smaller parts of 8 x 8 pixels.
4. Discrete Cosine Transformation transfers the 8 x 8
brightness values into 8 x 8 frequency coefficients,
which will be used in quantization process.
5. Quantization checks and rounds frequency
coefficients to integers in range -2048 to 2047.
6. Huffman coding will be again performed to ensure
redundancy free coding of quantized coefficients.
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International Journal of Engineering Trends and Technology (IJETT) – Volume 34 Number 2- April 2016
Fig1. IAMGE11.JPEG
Fig1. IAMGE2.JPEG
The above image shows the text message embedding
in a image which will not affect the image quality
Above given histogram denotes the brightness of
pixels across the image
Extracting
Extracting process is completely reverse of
embedding process as given above. it also ensures the
fault tolerance while extracting the message from an
image. extraction of a message from a stego image
also requires inter change of the format in case of
BMP or other image format this algorithm has O(n)
time and space complexity where n is a number of
pixels in a image.
1. Get a stego image.
2. Perform Huffman Decoding for frequency
coefficient redundancy calculation.
3. Jpeg compression to get an image in a smaller
part of 8 x 8 pixels.
4. Matrix decoding of smaller parts of image
containing 8 x 8 pixels.
5. Huffman decoding of bytes of string to get full
length message.
6. Write the message into a file.
AKNOLEGEMENTS
This project has been carried out with the help of the
teachers and family who supported for this reseach. i
will specially thanks to my guide for this work
madeto be done.
The above image shows the text message extracting
in an image which will not affect the image quality
And it will not show the difference between the
original image and image with message.
TABLE1
COVER
IMAGE
IMAGE
SIZE
HIDDEN
MESSAGE
MESSAGE
SIZE
IMAGE1.
JPEG
450
HI PRIYA
632 BITS
316/ (462*
1024*8) =
0.0083%
IMAGE2.
JPEG
550
HI PRIYA
512 BITS
263/ (663*
1024*8) =
0.0048%
NO
OF
ALTERED
BITS
CONCLUDING AND REMARKS
For concluding all of the above the two main stages
are included during the steganography process, which
are; embedding and extraction stages. The system
implemented using Java for embedding and
extraction stages. This is the conclusion remarks
regarding to the proposed scheme performance. The
proposed system was successfully tested with
different format of images and also resizes the size of
image file for purpose of portability. The above
makes difficult to the unauthorized person to
determine the presence of secret message.
References
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International Journal of Engineering Trends and Technology (IJETT) – Volume 34 Number 2- April 2016
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