Distinctive Image Transmission Technique through Secret-Fragment-Visible Mosaic Images using approximately Reversible Colour Transformations providing High Security

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International Journal of Recent Advances in Engineering & Technology (IJRAET)

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ISSN (Online): 2347 - 2812, Volume-5, Issue -6, 2017 45

Distinctive Image Transmission Technique through Secret-Fragment- Visible Mosaic Images using approximately Reversible Colour

Transformations providing High Security

1S. Vasantha Swami Nathan,²V. Gajendra Kumar,³S. Arun, ⁴S. Prabhu Das, ⁵ G.P. Ramesh, ⁶ A. Sivaiah

1,2Professor&^3,4Assoc. Professor, Dept. of E.C.E., P.I.T.S., Ongole, A.P.

Abstract: Distinctive image transmission technique is proposed, which transforms automatically a givenlarge- volume of secret image into an alleged secret fragment- visible mosaic image of the same size.The mosaic image, which looks analogous to an swiftly selected target image may be used as amasquerade of the secret image, is generate by dividing the secret image into fragments andtransforming their colour characteristics to be those of the corresponding blocks of the target image. These techniques are designed to conduct thecolour transformation process so that the secretimage may be recovered nearly loss less. Amethod of handling the overflows/underflows in the converted pixels’ colour values by recording the colour differences in the untransformed colour space is also proposed. The information required for recovering the secret image is embedded into the created mosaic image by a lossless data hiding scheme using a key.

Good experimental resultsshow the feasibility of the proposed method.

I. INTRODUCTION

The project develops a secure imagetransmission system which does not inciteattacker’s attention. Here the secret image isdisguised in the form of an arbitrary selected target image and transmitted. At the receiver side thesecret image can be recovered by using a secretkey.

Currently, images from various sources are

frequently utilized and transmitted through the internet for various applications, such as online personal photograph albums, confidential enterprise archives, document storage systems, medical imaging systems, and military image databases. These images usually contain private or confidential information so that they should be protected from leakages during transmissions.

Recently, many methods have been proposed for securing image transmission, for which two common approaches are image encryption and data hiding.

The proposed method includes two main

phases 1) mosaic image creation and 2) secret image recovery. In the first phase, a mosaic image is yielded, which consists of the fragments of an input secret image with color corrections according to asimilarity criterion based on color variations

II. LITERATURE REVIEW

To transform a secret image into one meaningful Mosaic tile image with size almost the same and looking like one target image. The mosaic image is the outcome of arranging of the tile fragments of a secret image in different way so as to disguise the other image called the target image which is already selected from a database [1].

Creating a mosaic image of this type from a given secret color image, the 3-D color space is transformed into a new 1-D colorscale, based on which a new image similarity measure is proposed for selecting from a database a target image that is the most similar to the given secret image [2].

A color space with decor related axes is a useful tool for manipulating color images. Imposing mean and standard deviation onto the data points is a simple operation, which produces believable output images given suitable input images. Applications of this work range from subtle postprocessing on images to improve their appearance to more dramatic alterations, such as converting a daylight image into a night scene. We can use the range of colors measured in photographs to restrict the color selection to ones that are likely to occur in nature [3].

The data space occupied by the LSBs is suitable for data hiding. The embedded information bit-rates of the proposed spatial domain reversible watermarking scheme are close to the highest bit-rates reported so far.

The scheme does not need additional data compression,

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and, in terms of mathematical complexity, it appears to be the lowest complexity one proposed up to now [4].

A generalized integer transform and a payload- dependent location map are constructed to extend the DE technique to the pixel blocks of arbitrary length [5].

A lossless data hiding scheme with high embedding capacity, which can recover the original image without any distortion after the hidden data have been extracted.

In this scheme, difference value of the adjacent pixels is calculated first. After adjusting the difference slightly, we can increase (decrease) it by 1 or maintain it intact to embed information into the cover image [6].

In [7]present a simple colorization method that requires neither precise image segmentation, nor accurate region tracking. Our method is based on a simple premise:

neighboring pixels in space-time that have similar intensities should have similar colors. We formalize this premise using a quadratic cost function and obtain an optimization problem that can be solved efficiently using standard techniques.

III. CREATING SECRET MOSAIC IMAGE:

Block Diagram

Secret MOSAIC Image Creation:

Selecting the Target Image for the Secret Image and Dividing into Blocks

Both secret image and target image are divided into equal no of parts called as secretblocks and target blocks. The secret blocks ofsecret image are mapped to the target blocks oftarget image with maximum similarity. The colourcharacteristics of secret block are transformed tomatch with the corresponding target block by atechnique called reversible colour transformation.

The secret blocks are rotated to appropriate anglesto minimise the RMSE value .the rotatinginformation is kept for future use. Fit the secretblock into corresponding target blocks .Therelevant information for the image recovery isembedded on the image by using a technique called reversible contrast mapping.

On the receiver side the embedded information is retrieved first by using a secret key.By using the embedded information the secretimage can be recovered.

Sort all secret blocks in secret imageaccording to their standard deviations in ascending order and put all the secretblocks in an array.

Sort all blocks in target image according to their standard deviations in ascending order and put all the block in an array.

Save the identifier values of secret blocks array and target blocks array. Target and secret blocks after sorting will be done.

IV. EXTRACTINGTHETRANSFORM INFORMATION

After Saving the LSB of y| as recovery data. The pixel values are being transformed

Applying transformation

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Embedding the Information

In order to recover the secret image from the mosaic image, embed modified transform information into the mosaic image.

Unlike the classical LSB replacementmethods, which substitute LSBs with message bitsdirectly, the reversible contrast mapping methodapplies simple integer transformations to pairs ofpixel values. Specifically, the method conducts forward and backward integer transformations asfollows, respectively, in which (x, y) are a pair ofpixel values and (x’, y’ ) are the transformed ones.

Creating the secret key

To create secret key the saved binary array is XORoperated with randomly generated binary sequenceof same size (86016).

Finding Standard Deviation of the Blocks

V. CONCLUSION:

Unique image transmission method had been proposed, which not only can createmeaningful mosaic images. In addition it can transform asecret image into a mosaic one for use as amasquerade of the secret image.By the use of proper pixel colourtransformations secret mosaic images with verygiant visual similarities are converted into arbitrarily-selected targetimages can be created with no need of a targetimage database. Also, the primary secret imagescan be recovered without losses from the createdmosaic images. Good experimental results haveshown the usefulness of the proposed method.Future studies may be directed to applying theproposed method to images of color models otherthan the RGB.

REFERENCES

[1] Sarwate, M. S., & Dakhore, M. H. (2014). An Approach to Securely Transfer a Secret Image Using Reversible Color Transformations and HSV Color Model. IJCSIT, 5(6).

[2] Lai, I. J., & Tsai, W. H. (2011). Secret-fragment- visible mosaic image–a new computer art and its application to information hiding. IEEE transactions on information forensics and security, 6(3), 936-945.

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[3] Reinhard, E., Adhikhmin, M., Gooch, B., &

Shirley, P. (2001). Color transfer between images. IEEE Computer graphics and applications, 21(5), 34-41.

[4] Coltuc, D., & Chassery, J. M. (2007). Very fast watermarking by reversible contrast mapping. IEEE Signal processing letters, 14(4), 255-258.

[5] Wang, X., Li, X., Yang, B., & Guo, Z. (2010).

Efficient generalized integer transform for reversible watermarking. IEEE Signal Processing Letters, 17(6), 567-570.

[6] Li, Z., Chen, X., Pan, X., & Zeng, X. (2009, January). Lossless data hiding scheme based on adjacent pixel difference. In Computer Engineering and Technology, 2009. ICCET'09.

International Conference on (Vol. 1, pp. 588- 592). IEEE.

[7] Levin, Anat, Dani Lischinski, and Yair Weiss.

"Colorization using optimization." In ACM transactions on graphics (tog), vol. 23, no. 3, pp.

689-694. ACM, 2004.

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