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Proceedings ArticleDOI

Image Steganography based on Fractional Random Wavelet Transform and Arnold Transform with cryptanalysis

TL;DR: In this article, the authors apply image steganography using fractional random wavelet transform (FrRnWT) and apply Arnold scrambling algorithm to prevent any unauthorized access of information.
Abstract: Steganography is a means to hide information which is mainly confidential in order to avoid leakage of important data. In medical diagnosis it is necessary to hide the medical records of the patients on moral grounds. This research paper applies image steganography using Fractional Random Wavelet Transform (FrRnWT). Using this transform steganography is achieved by embedding the secret image onto a cover image. We make a comparison with another transform, Discrete wavelet transform (DWT), a frequently used to transform images in image steganography. To further increase the security of the information we use Arnold scrambling algorithm to prevent any unauthorized access of information. The performance is analyzed by the computing the following parameters: PSNR and MSE and exposing the system to attacks to compare their imperceptibility and robustness. The results are shown to observe the effectiveness of the proposed method.
References
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Journal ArticleDOI
TL;DR: The proposed algorithm can compress and encrypt image signal, especially can encrypt multiple images once, and is of high security and good compression performance.
Abstract: Based on hyper-chaotic system and discrete fractional random transform, an image compression-encryption algorithm is designed. The original image is first transformed into a spectrum by the discrete cosine transform and the resulting spectrum is compressed according to the method of spectrum cutting. The random matrix of the discrete fractional random transform is controlled by a chaotic sequence originated from the high dimensional hyper-chaotic system. Then the compressed spectrum is encrypted by the discrete fractional random transform. The order of DFrRT and the parameters of the hyper-chaotic system are the main keys of this image compression and encryption algorithm. The proposed algorithm can compress and encrypt image signal, especially can encrypt multiple images once. To achieve the compression of multiple images, the images are transformed into spectra by the discrete cosine transform, and then the spectra are incised and spliced into a composite spectrum by Zigzag scanning. Simulation results demonstrate that the proposed image compression and encryption algorithm is of high security and good compression performance.

77 citations

Journal ArticleDOI
01 Jan 2012
TL;DR: In this correspondence paper, biometrics is chosen as the primary application; and hence, a new technique is proposed for securing fingerprints during communication and transmission over insecure channel, i.e., fractional random wavelet transform (FrRnWT).
Abstract: In this correspondence paper, the wavelet transform, which is an important tool in signal and image processing, has been generalized by coalescing wavelet transform and fractional random transform. The new transform, i.e., fractional random wavelet transform (FrRnWT) inherits the excellent mathematical properties of wavelet transform and fractional random transform. Possible applications of the proposed transform are in biometrics, image compression, image transmission, transient signal processing, etc. In this correspondence paper, biometrics is chosen as the primary application; and hence, a new technique is proposed for securing fingerprints during communication and transmission over insecure channel.

46 citations

Proceedings ArticleDOI
10 Jun 2020
TL;DR: Experimental results demonstrate the efficiency of the methodology proposed in the paper, which aims to understand and implement steganography on different images using two different techniques.
Abstract: Steganography is classified among the foremost methods employed in data security to conceal and safeguard confidential messages in the data transmitted. Security, especially data security, is an important requisite in today's world hence Steganography has great significance. The paper deals with understanding and implementation of steganography on different images using two different techniques: Least Significant Bit method(secret image is hidden using the bits at least significant level of the cover image) and Discrete Wavelet Transform method(secret image is hidden by modification of the wavelet coefficients of cover image). The image to be transmitted secretly is both encoded and decoded using these methods and a detailed analysis of the resultant images is performed using various image parameters. These experimentally obtained and compared efficiency parameters, thus, demonstrate the efficiency of the methodology proposed in the paper.

13 citations

Journal ArticleDOI
TL;DR: Performance analysis of image steganography based on Discrete Wavelet Transform associated to colored and gray scale images is done and simulation results show that PSNR values of the Arnold Transform based method are better than existing methods.
Abstract: is the technique that communicates secret data in different carriers like image, audio files etc. in such a way that it is not be visible to attackers. In this paper, performance analysis of image steganography based on Discrete Wavelet Transform (DWT) associated to colored and gray scale images is done. Arnold transformation along with a private key is used during encoding to provide high security. DWT is applied on both the cover image and the secret image and then alpha blending operation is done. Stego-image is obtained by using Inverse Discrete Wavelet Transformation (IDWT) Performance analysis is done by using different wavelet families. The simulation results show that PSNR values of the Arnold Transform based method are better than existing methods. KeywordsArnold Transformation, Private Key, Alpha Blending, DWT.

6 citations

Proceedings ArticleDOI
28 Jul 2020
TL;DR: Combination of DCT & DWT technique for digital watermarking is proposed here and improves the watermarked image quality and the MSE & PSNR value obtained is 0.52 and 51.017 respectively.
Abstract: The success of internet technology transform the world of technology and fashioned our life such a lot easier. The matter of duplication and unauthorized use of information become a great threat within the field of technology. To beat these problems, techniques like digital watermarking, steganography and cryptography were introduced. The approach of embedding a secret data associated with the digital signal inside the signal itself is digital watermarking. For embedding and detecting the watermark different techniques are used; spatial domain techniques like Least Significant Bit (LSB) and Patch Work Algorithm, then the frequency domain techniques such as Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) and Discrete Fourier Transform (DFT) are some of them. Combination of DCT & DWT technique for digital watermarking is proposed here. The proposed methodology is implemented in MATLAB 2017a simulator and result is analysed using evaluation parameters like Peak Signal to Noise Ratio (PSNR) & Mean Square Error (MSE). PSNR value obtained for the case of watermarking using DWT is 27.46 and MSE value is 17.45. The value of PSNR for watermarking using DCT is 41.4 and for MSE the value is 0.67. The PSNR and MSE values obtained for watermarking using LSB technique is 50.55 and 0.58. The proposed method improves the watermarked image quality and the MSE & PSNR value obtained is 0.52 and 51.017 respectively.

4 citations