Abstract
The aim of this paper is to establish a new method for RGB image steganography which can hide more than one RGB secret image in a single RGB cover image. To do so, discrete cosine transformation is used here in a block-wise manner. The cover image is divided into three-color channels (Red, Green, and Blue) and each channel is further divided into 8 × 8 blocks. From each block, one bit can be selected to replace with one-pixel value of a secret. Now according to the block size, more than one bit can be manipulated as after applying DCT on a block, mid-band and lower band coefficients have considerably less impact on the overall image. If 3 bits are chosen, then for each block those 3 bits will be replaced by the values from 3 respective secret images. Hence each channels of the cover will contain the same color channel values of the secrets. Just following these steps in reverse order extraction can easily be done and the steganography method will be blind i.e. there will be no need for original cover image while extracting the secrets. Now to enhance the security, before embedding, the secret image is encrypted using Arnold transformation. The proposed method has been thoroughly tested using different color images and the results of these experiments have been scrutinized through various quality metrics, which prove its effectiveness.
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References
Singh, Y.K., Sharma, S.: Image steganography on gray and color image using DCT enhancement and RSA with LSB method. https://doi.org/10.1109/inventive.2016.7830106 © IEEE
Bansal, D., Chhikara, R.: An improved DCT based steganography technique. Int. J. Comput. Appl. 102(14). https://doi.org/10.5120/17887-8861
Das, P., Kushwaha, S.C., Chakraborty, M.: Data hiding using randomization andmultiple encrypted secret images. https://doi.org/10.1109/iccsp.2015.7322892 © IEEE
Hemalatha, S., Dinesh Acharya, U., Renuka, A., Kamath, P.R.: A secure image steganography technique to hide multiple secret images. https://doi.org/10.1007/978-1-4614-6154-8_60 © Springer
Tripathi, D., Sharma, S.: A robust 3-SWT multiple image steganography and contrast enhancement technique. https://doi.org/10.1109/inventive.2016.7823256 © IEEE
Aynapur, D., Thenmozhi, S.: A secure steganography approach of multiple secret images using ANN. Int. J. Recent Trends Eng. Res. 02(04), 468–473 (2016)
Koptyra, K., Ogiela, M.R.: Key generation for multi-secret steganography. https://doi.org/10.1109/icissec.2015.7371013 © IEEE
Sharma, S., Sejwar, V.: QR code steganography for multiple image and text hiding using improved RSA-3DWT algorithm. Int. J. Secur. Appl. 10(7), 393–406 (2016)
Shinu, V.L.: Mid band DCT coefficients based steganography. Int. J. Sci. Eng. Technol. Res. ISSN 2319-8885, 03(48), 9838–9842 (2014)
Shankar, S.S., Rengarajan, A.: Data hiding in encrypted images using Arnold transform. ICTACT J. Image Video Process. 07(01). ISSN: 0976-9102 (Online) https://doi.org/10.21917/ijivp.2016.0194
Dey, N., Roy, A.B., Dey, S.: A novel approach of color image hiding using RGB color planes and DWT. Int. J. Comput. Appl. 36(5). https://doi.org/10.5120/4487-6316
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Debnath, D., Ghosh, E., Gupta Banik, B. (2019). Multiple RGB Image Steganography Using Arnold and Discrete Cosine Transformation. In: Chakraborty, M., Chakrabarti, S., Balas, V., Mandal, J. (eds) Proceedings of International Ethical Hacking Conference 2018. Advances in Intelligent Systems and Computing, vol 811. Springer, Singapore. https://doi.org/10.1007/978-981-13-1544-2_13
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DOI: https://doi.org/10.1007/978-981-13-1544-2_13
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