Steganography Based on Integer Wavelet Transform and Bicubic Interpolation

Ajeeshvali, N.; Rajasekhar, B.

doi:10.5815/ijigsp.2012.12.04

Cited by 8 publications

(4 citation statements)

References 7 publications

(5 reference statements)

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“…The maximum absolute value of ei is 3, this means that if a pixel of the cover image is <3 or >252 then after the hiding process the stego pixel can fall off [0,255]. To avoid this problem we keep, before hiding data, the pixels of the cover in [3,252]:…”

Section: First Methodsmentioning

confidence: 99%

See 1 more Smart Citation

High Imperceptibility Image Steganography Methods based on HAAR DWT

Taouil¹,

Ameur²,

Souhar³

et al. 2016

IJCA

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While cryptography keeps unknown the hidden content of information, steganography provides a higher level of data security by making even the existence of hidden information secret, it is the art of dissimulating information in digital media considering it as an unremarkable support. In this paper we propose a new two methods of image steganography by using Haar discrete wavelet transform, the secret data are hidden in the frequency domain to minimize the distortions occurring on the cover during the steganographic process. The floating point in the coefficients of the transform can cause a loss in information. To prevent this problem, data is embedded in the integer part of high frequency coefficients in such a way that increases the imperceptibility. Extensive experiments on variety of images were performed and the results show that the proposed methods provide better image quality and a high imperceptibility in comparison with prior works. This was achieved using a random key that scrambles the location of the pixels where data is hidden.

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Section: First Methodsmentioning

confidence: 99%

“…It is the art of hiding information in digital file called cover. Data is hidden in the areas of the cover file that can be modified without causing a visible modification on its shape; this operation produces a stego file which must be indistinguishable to the cover file [3].…”

Section: Introductionmentioning

confidence: 99%

High Imperceptibility Image Steganography Methods based on HAAR DWT

Taouil¹,

Ameur²,

Souhar³

et al. 2016

IJCA

View full text Add to dashboard Cite

show abstract

“…The different payload test result showed (0.05 to 0.4 bps) at the typical quality factor QF 75. The work in [17] introduced Steganography technique based on integer wavelet transform. The integer wavelet transform is used to extract the coefficients of cover image to embed the secrete data.…”

Section: Related Workmentioning

confidence: 99%

JPEG Image Steganography based on Coefficients Selection and Partition

Ansari¹,

Mohammadi²,

Parvez³

2017

IJIGSP

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Abstract-In this paper, we propose a novel JPEG image Steganography algorithm based on partition schemes on image coefficient values. Our method selects the AC and DC coefficients of a JPEG image according to a channel selection method and then identifies appropriate coefficients to store the secret data-bits. As opposed to other reported works, in our algorithm each selected coefficient can store a variable number of data-bits that are decided using the concept called 'Partition Scheme'. Experimental results indicate the suitability of the proposed algorithm as compared to other existing methods.

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“…The discrete wavelet transform (DWT) is a multiresolution analyzing tool with tremendous characteristics in the time as well as frequency domains [28]. With DWT, signals can be divided into different sub-bands with time and frequency information.…”

Section: Discrete Wavelet Transformmentioning

confidence: 99%

Least Significant Bit and Discrete Wavelet Transform Algorithm Realization for Image Steganography Employing FPGA

Shete¹,

Patil²,

Chitode³

2016

IJIGSP

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Steganography is the science that deals with conveying secret information by embedding into the cover object invisibly. In steganography, only the authorized party is aware of the existence of the hidden message to achieve secret communication. The image file is mostly used cover medium amongst various digital files such as image, text, audio and video. The proposed idea of this research work is to develop the robust image steganography. It is implemented using Least Significant Bit and Discrete Wavelet Transform techniques for digital image signal to improve the robustness & evaluate the performance of these algorithms. The parameters such as mean square error (MSE), bit error rate (BER), peak signal to noise ratio (PSNR) and processing time are considered here to evaluate the performance of the proposed work. In the proposed system, PSNR and MSE value ranges from 42 to 46 dB and 1.5 to 3.5 for LSB method respectively. For DWT method these results are further improved as it gives higher PSNR values between 49 to 57 dB and lower MSE values 0.2 to 0.7.

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Steganography Based on Integer Wavelet Transform and Bicubic Interpolation

Cited by 8 publications

References 7 publications

High Imperceptibility Image Steganography Methods based on HAAR DWT

High Imperceptibility Image Steganography Methods based on HAAR DWT

JPEG Image Steganography based on Coefficients Selection and Partition

Least Significant Bit and Discrete Wavelet Transform Algorithm Realization for Image Steganography Employing FPGA

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