Image Steganography Using Integer Wavelet Transform Based on Color Space Approach
01 Jan 2015-pp 839-848
TL;DR: A LSB image Steganography technique to hide multiple secret images in a cover image which is in a YCbCr color space format using Integer Wavelet Transform (IWT) there is no optical variation between the stego image and the original cover image.
Abstract: Steganography is one in all the foremost persuasive approaches to mask the presence of hidden data inside a cover object. Images are one of the suitable cover objects for the Steganography. Current trends support, digital image files as the cover file to hide multiple secret images. Steganography presents the clandestine information can be covered in mediums like image, video and audio. This paper provides a LSB image Steganography technique to hide multiple secret images in a cover image which is in a YCbCr color space format using Integer Wavelet Transform (IWT). There is no optical variation between the stego image and the original cover image. The proposed hardware architecture gives very fast, programmable & cost effective hardware solution in the area of Secure Communication.
Citations
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TL;DR: A thorough review of existing types of image steganography and the recent contributions in each category in multiple modalities including general operation, requirements, different aspects, different types and their performance evaluations is provided.
253 citations
TL;DR: Experimental results show that the proposed method not only offers acceptable Peak Signal-to-Noise Ratio (PSNR) values with considerable payload but also provides two-way security of the data being transmitted over the digital medium.
10 citations
Dissertation•
09 May 2017TL;DR: In this article, the authors propose a methode to calculate a carte de distorsion precise, en fonction of the derivee seconde of l’image.
Abstract: De nos jours, le developpement de la steganalyse et de la steganographie est incontournable, et peut etre utilise a des fins legales comme illegales, comme dans toute autre application. Le travail presente dans cette these, se concentrant sur ces questions, est divisee en trois parties. La premiere partie concerne les parametres permettant d’accroitre le niveau de securite de la steganographie afin de faire face aux techniques de steganalyse. La contribution apportee dans cette premiere partie concerne l’etude de l’effet de la charge utile, l’extraction des caracteristiques, ainsi que le groupe d’images utilisees dans la phase d’apprentissage et la phase de test. Les resultats des simulations montrent que les techniques de steganalyse de l’ etat de l’art echouent dans la detection des messages secrets integres dans les images quand les parametres changent entre l’apprentissage et le test. Dans la deuxieme partie, nous etudions l’impact de la combinaison de plusieurs methodes steganographiques sur la detection des messages secrets. Ce travail prend en consideration qu’il n’existe pas une procedure ideale, mais que le steganographieur pourra utiliser n’importe quel schema ainsi que n’importe quel taux d’embarquement. Dans la troisieme et derniere partie, on propose une methode qui calcule une carte de distorsion precise, en fonction de la derivee seconde de l’image. La derivee seconde est utilisee afin de calculer les courbes de niveau, ensuite le message va etre cache dans l’image en ecartant les courbes de niveaux inferieurs a un certain seuil. Les resultats experimentaux demontrent que le niveau de securite est acceptable compare aux methodes steganographiques de l’etat de l’art.
3 citations
Cites background from "Image Steganography Using Integer W..."
...The wavelet transform divides the image to the high frequency and the low frequency information, where the high frequency contains information about the edge elements and the low frequency is divided again into high and low frequency components [81, 93, 82]....
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01 Oct 2019
TL;DR: The results show that the proposed scheme has achieved higher embedding capacity compared to other methods while maintaining the stego-image quality.
Abstract: In this paper, a data hiding method to transfer secret data over unsecure networks is proposed. The method is based on a matrix pattern approach to hide the secret data into color images. In the proposed method, the image is first transformed into the YCbCr color space, and then each image component is divided into blocks. The Y component is used to generate matrix patterns using the texture of each Y block and assign these patterns to ASCII characters. The Cb and Cr components are then used to hide the secret data using the generated matrix patterns. The results show that the proposed scheme has achieved higher embedding capacity compared to other methods while maintaining the stego-image quality.
2 citations
Cites background from "Image Steganography Using Integer W..."
...Since the human eye is less sensitive to chroma components (Cb and Cr) than to the luminance (Y), hiding data in the Cb/Cr component can improve the stego-image quality [15]....
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References
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01 Dec 2011
TL;DR: A best approach for Least Significant Bit (LSB) based on image steganography that enhances the existing LSB substitution techniques to improve the security level of hidden information and the Peak Signal-to-Noise Ratio (PSNR) to measure the quality of the stego images.
Abstract: This paper introduces a best approach for Least Significant Bit (LSB) based on image steganography that enhances the existing LSB substitution techniques to improve the security level of hidden information. It is a new approach to substitute LSB of RGB true color image. The new security conception hides secret information within the LSB of image where a secret key encrypts the hidden information to protect it from unauthorized users. In general, in LSB methods, hidden information is stored into a specific position of LSB of image. For this reason, knowing the retrieval methods, anyone can extract the hidden information. In our paper, hidden information is stored into different position of LSB of image depending on the secret key. As a result, it is difficult to extract the hidden information knowing the retrieval methods. We have used the Peak Signal-to-Noise Ratio (PSNR) to measure the quality of the stego images. The value of PSNR gives better result because our proposed method changes very small number of bits of the image. The obtained results show that the proposed method results in LSB based image steganography using secret key which provides good security issue and PSNR value than general LSB based image steganography methods.
207 citations
TL;DR: This paper provides a novel image steganography technique to hide multiple secret images and keys in color cover image using Integer W avelet Transform (IWT).
Abstract: Steganography is the science of invisible communication. The purpose of Steganography is to maintain secret communication between two parties. The secret information can be concealed in content such as image, audio, or video. This paper provides a novel image steganography technique to hide multiple secret images and keys in color cover image using Integer Wavelet Transform (IWT). There is no visual difference between the stego image and the cover image. The extracted secret images are also similar to the original secret images. Very good PSNR (Peak Signal to Noise Ratio) values are obtained for both stego and extracted secret images. The results are compared with the results of other techniques, where single image is hidden and it is found that the proposed technique is simple and gives better PSNR values than others.
61 citations
TL;DR: By adopting an object oriented steganography mechanism, in the sense that, the authors track skin tone objects in image, they get a higher security and simulation result shows that satisfactory PSNR (Peak-Signal-to-Noise Ratio) is also obtained.
Abstract: Steganography is the art of hiding the existence of data in another transmission medium to achieve secret communication. Steganography method used in this paper is based on biometrics. And the biometric feature used to implement Steganography is skin tone region of images (1). Here secret data is embedded within skin region of image that will provide an excellent secure location for data hiding. For this skin tone detection is performed using HSV (Hue, Saturation and Value) color space. Additionally secret data embedding is performed using frequency domain approach - DWT (Discrete Wavelet Transform), DWT outperforms than DCT (Discrete Cosine Transform). Secret data is hidden in one of the high frequency sub-band of DWT by tracing skin pixels in that sub-band. For data hiding two cases are considered, first is with cropping and other is without cropping. In both the cases different steps of data hiding are applied either by cropping an image interactively or without cropping i.e. on whole image. Both cases are compared and analyzed from different aspects. This is concluded that both cases offer enough security. Main feature of with cropping case is that this results into an enhanced security because cropped region works as a key at decoding side. Where as without cropping case uses embedding algorithm that preserves histogram of DWT coefficient after data embedding also by preventing histogram based attacks and leading to a more security. This study shows that by adopting an object oriented steganography mechanism, in the sense that, we track skin tone objects in image, we get a higher security. And simulation result shows that satisfactory PSNR (Peak-Signal-to-Noise Ratio) is also obtained.
60 citations
TL;DR: In this paper, a novel image steganography technique to hide multiple secret images and keys in color cover image using Integer W avelet Transform (IWT) was proposed.
Abstract: Steganography is the science of “invisible” communication. The purpose of Steganography is to maintain secret communication between two parties. The secret information can be concealed in content such as image, audio, or video. This paper provides a novel image steganography technique to hide multiple secret images and keys in color cover image using Integer W avelet Transform (IWT). There is no visual difference between the stego image and the cover image. The extracted secret images are also similar to the original secret images. Very good PSNR (Peak Signal to Noise Ratio) values are obtained for both stego and
extracted secret images. The results are compared with the results of other techniques, where single image
is hidden and it is found that the proposed technique is simple and gives better PSNR values than others
48 citations