Optimized discrete wavelet transform based steganography

Narasimmalou, T.; Joseph, Allen

doi:10.1109/icaccct.2012.6320747

Cited by 26 publications

(11 citation statements)

References 19 publications

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“…Narasimmalou et al [10] had proposed two different techniques; one using three level wavelet decomposition taking a single plane of the cover image for embedding and processing the image as 4 x 4 blocks with swapping; another using single level wavelet decomposition. 2D Haar transform is used for three level wavelet decomposition and LL band of previous result is used for further calculation.…”

Section: Related Workmentioning

confidence: 99%

Binary image Steganography in wavelet domain

Patel

Ragha

2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

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In today's era sharing of secret data over internet has increased widely. Along with increase in frequent information sharing on Internet threat of malicious access also pulls significant attraction. Cryptography and Steganography are solution to this problem. Steganography is a technique to make private or secret data invisible to the world in order to send it over the network securely. In this paper we proposed an algorithm which is in transform domain and simple in calculation. To increase the level of security we encrypt the data before embedding it into the carrier file. We perform discrete wavelet transform on cover image followed by fusion. At last we perform inverse wavelet transform to get stego image. We compare original cover image and stego image; the results we obtained are good as both the images are almost identical. This is proved by high PSNR (Peak Signal to Noise Ratio) values we have obtained.

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Section: Related Workmentioning

confidence: 99%

Binary image Steganography in wavelet domain

Patel

Ragha

2015

2015 International Conference on Industrial Instrumentation and Control (ICIC)

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“…T.Narasimmlouet.al [7] proposed DWT based stegnography which states that PSNR value has better value in proposed method compared to other technique.…”

Section: Literature Surveymentioning

confidence: 99%

Robust Image Stegnography Using DWT and DCT

Vasudha¹

2016

IJRET

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Most imaportant area in the recent years is the field of stegnography. It is the method of hiding data in the cover image, it can be done through the form of text, video or audio. The information is passed from the sender to the receiver without giving any hint to the external users. LSB technique fail to provide the complete security, in order to overcome this problem DCT is applied. Spatial domain is converted to frequency domain by the use of DCT. Encryption is done uding RSA algorithm. This is a robust method. From the result it will be clear that the proposed method shows the better PSNR value.

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“…Narasimmalou, T., et al, [5] proposed an optimal Discrete Wavelet Transform based steganography in which a single level DWT decomposition is done on a host image and the secret information is hidden by manipulating the transform coefficients of the decomposed image. Raja.K.B, et al, [6] have proposed a novel image adaptive steganographic technique in integer wavelet transform domain.…”

Section: Related Workmentioning

confidence: 99%

Eliminating Cover Image Requirement in Discrete Wavelet Transform based Digital Image Steganography

Sehgal¹,

Sharma²

2013

IJCA

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Image steganography is the art and science of hiding secret image into digital media such that no one apart from the intended recipient is able to detect the existence of the information. There are many different carriers that can be used to hide the information such as digital images, videos, sound files and other computer files but digital images are the most popular. In this paper, a method has been proposed using which a large size secret image can be hidden into small size cover image securely. The main aim here is the absolute invisibility of the large size secret image. The secret image is first scrambled by using Arnold transformation. Haar Discrete Wavelet Transformation (DWT) is then applied on cover image and Arnold transformed secret image, followed by Alpha Blending operation. Then the Haar Inverse Discrete Wavelet Transformation (IDWT) is applied to obtain the stego image. At the receiver side, first the cover image is obtained from the stego image. Then Haar DWT is applied on the cover image and the stego image followed by the alpha blending operation. Haar IDWT is applied on the resulting image. Then by applying Arnold transformation, the secret image is obtained. The proposed method does not require the sender to send the cover image to the receiver for obtaining the secret image.The performance of the proposed method is investigated by comparing the cover image and the stego image in terms of Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Normalized Cross Correlation (NCC). Experimental results demonstrate the effectiveness and accuracy of the proposed method.

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Optimized discrete wavelet transform based steganography

Cited by 26 publications

References 19 publications

Binary image Steganography in wavelet domain

Binary image Steganography in wavelet domain

Robust Image Stegnography Using DWT and DCT

Eliminating Cover Image Requirement in Discrete Wavelet Transform based Digital Image Steganography

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