Matlab discrete wavelet transform and data expansion reduction in homomorphic encrypted domain

Jun 22, 20130 likes148 views

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DISCRETE WAVELET TRANSFORM AND DATA EXPANSION REDUCTION IN
HOMOMORPHIC ENCRYPTED DOMAIN
ABSTRACT:
In this paper, we propose a method for implementing discrete wavelet transform (DWT) and
multiresolution analysis (MRA) in homomorphic encrypted domain. We first suggest a
framework for performing DWT and inverse DWT (IDWT) in the encrypted domain, then
conduct an analysis of data expansion and quantization errors under the framework. To solve the
problem of data expansion, which may be very important in practical applications, we present a
method for reducing data expansion in the case that both DWT and IDWT are performed.
We proposed method, multilevel DWT/IDWT can be performed with less data expansion in
homomorphic encrypted domain. We propose a new signal processing procedure, where the
multiplicative inverse method is employed as the last step to limit the data expansion. Taking a
2-D Haar wavelet transform as an example, we conduct a few experiments to demonstrate the
advantages of our method in secure image processing. We also provide computational
complexity analyses and comparisons. To the best of our knowledge, there has been no report on
the implementation of DWT and MRA in the encrypted domain.
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With the rapid development of information technology and multimedia, the use of digital data is increasing day by day. So it becomes very essential to protect multimedia information from piracy and also it is challenging. A great deal of Copyright owners is worried about protecting any kind of illegal repetition of their information. Hence, facing all these kinds of problems development of the techniques is very important. Digital watermarking considered as a solution to prevent the multimedia data. In this paper, an idea of watermarking is proposed and implemented. In proposed watermarking method, the original image is rearranged using zigzag sequence and DWT is applied on rearranged image. Then DCT and SVD are applied on all high bands LH, HL and HH. Watermark is then embedded by modifying the singular values of these bands. Extraction of watermark is performed by the inversion of watermark embedding process. For choosing of these three bands it gives facility of mid-band and pure high band that ensures good imperceptibility and more robustness against different kinds of attacks.

A DWT, DCT AND SVD BASED WATERMARKING TECHNIQUE TO PROTECT THE IMAGE PIRACYijmpict

Implementation of digital image watermarking techniques using dwt and dwt svd...eSAT Journals

Abstract These days, in every field there is gigantic utilization of computerized substance. Data took care of on web and mixed media system framework is in advanced structure. Computerized watermarking is only the innovation in which there is inserting of different data in advanced substance, which we need to shield from illicit replicating. Computerized picture watermarking is concealing data in any structure (content, picture, sound and video) in unique picture without corrupting its perceptual quality. On the off chance that of Discrete Wavelet Transform (DWT), deterioration of the first picture is completed to insert the watermark. Moreover, if there should arise an occurrence of cross breed system (DWT-SVD) firstly picture is decayed by and after that watermark is installed in solitary qualities acquired by application of Singular Value Decomposition (SVD). DWT and SVD are utilized in combination to enhance the nature of watermarking. We have the procedures which are looked at on the premise of Peak Signal to Noise Ratio (PSNR) esteem at various benefits of scaling component; high estimation of PSNR is coveted because it displays great intangibility of the strategy.

Implementation of digital image watermarking techniques using dwt and dwt svd...eSAT Journals

computerized substance. Data took care of on web and mixed media system framework is in advanced structure. Computerized watermarking is only the innovation in which there is inserting of different data in advanced substance, which we need to shield from illicit replicating. Computerized picture watermarking is concealing data in any structure (content, picture, sound and video) in unique picture without corrupting its perceptual quality. On the off chance that of Discrete Wavelet Transform (DWT), deterioration of the first picture is completed to insert the watermark. Moreover, if there should arise an occurrence of cross breed system (DWT-SVD) firstly picture is decayed by and after that watermark is installed in solitary qualities acquired by application of Singular Value Decomposition (SVD). DWT and SVD are utilized in combination to enhance the nature of watermarking. We have the procedures which are looked at on the premise of Peak Signal to Noise Ratio (PSNR) esteem at various benefits of scaling component; high estimation of PSNR is coveted because it displays great intangibility of the strategy.

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