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Development of fast watermarking schemes for all multimedia objects is crucial to the present day research in information security. Besides speed of execution minimizing the trade-off between visual quality and robustness is another important requirement of this research domain. In view of this, a newly developed single layer feedforward network (SLFN) commonly known as Bidirectional Extreme Learning...
In this paper, a multiple scaling factor based Semi-Blind watermarking scheme for grayscale image watermarking using Online Sequential Extreme Learning Machine (OS-ELM) is proposed. Four-level DWT is applied on three standard test images of size 512 × 512. LL4 sub-band coefficients are chosen for watermark embedding. OS-ELM is initially tuned with a fixed number of training data used in its initial...
In this paper, a robust blind color image watermarking technique using Online Sequential Extreme Learning Machine (OS-ELM) is proposed. Blue channel is utilized and transformed using DWT. Low frequency LL4 sub-band is used for watermark embedding. A variant of mini-batch machine learning algorithm i.e. OS-ELM is initially tuned with a fixed number of training data used in its initial phase and size...
Watermarking protects copyright of images and other digital formats but cloud images are still untouched and need to address properly. Web contents are growing like any thing and it has abundance of information. Information extraction and searching from web is now essential task for decision makers. Information extraction cant be possible without segregation of information as per the demand. There...
In this paper, an implementation and efficacy of Extreme Learning Machine (ELM) algorithm for watermarking of an images in Discrete Wavelet Transform (DWT) domain has been demonstrated. ELM is a regularization algorithm works based on the concept of generalized single-hidden-layer feed forward neural networks (SLFNs) with different activation functions likes rbf, sine, sigmoid and hardlim in hidden...
In this paper, we first present successful transmission of watermarked image Lena using OFDM technique over AWGN wireless channel by using 256-PSK modulation technique. The performance analysis of this transmission is carried out. The visual quality of non-transmitted and transmitted signed images is quantified by computing PSNR. The extraction of watermark from signed image is carried out by using...
In this paper, Human Visual System (HVS) characteristics are modeled using a Genetic Algorithm (GA) based technique for the determination of weights in a BPN (GA/BPN) for the purpose of image watermarking. The GA based BP network is trained by 27 inference rules comprising of three input HVS features namely luminance sensitivity, edge sensitivity computed using threshold and contrast sensitivity computed...
In this paper, Human Visual System (HVS) characteristics are modeled using a Fuzzy Inference System (FIS) for robust image watermarking. The fuzzy input variables corresponding to luminance sensitivity, edge sensitivity computed using threshold and contrast sensitivity computed using variance are fed to a FIS driven by ten Fuzzy inference rules. The FIS produces a single output weighting factor which...
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