-In this paper the technique for resolution and contrast enhancement of satellite geographical images based on discrete wavelet transform (DWT), stationary wavelet transform (SWT) and singular value decomposition (SVD) has been proposed. In this, the noise is added in the input low resolution and low contrast image. The median filter is used remove noise from the input image. This low resolutio...

Digital watermarking techniques have been proposed for copyright protection and authentication of multimedia data. In this paper we are providing one such watermarking scheme for color images.The suggested method presents a watermarking scheme based on a Redundant Discrete Wavelet Transform (RDWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) in which two level RDWT is...

In the modern era, digital image watermarking is a successful method to protect the multimedia digital data for example copyright protection, content verification, rightful ownership identification, tamper detection etc. In this paper for improving the robustness and security, a Dual watermarking approach using Redundant Discrete Wavelet Transform (RDWT), block based singular value decompositio...

Previous works have resulted in some practical achievements for mechanomyogram (MMG) to control powered prostheses. This work presents the investigation of classifying the hand motion using MMG signals for multifunctional prosthetic control. MMG is thought to reflect the intrinsic mechanical activity of muscle from the lateral oscillations of fibers during contraction. However, external mechani...

This paper proposes optimized Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) watermarking technique using multi-objective evolutionary algorithm using Fibonacci-Lucas transform. In any image watermarking technique, there is always challenge for researcher to achieve perceptual quality and robustness simultaneously under high payload scenario because these two quality me...

In this paper we propose a new lossy image compression technique which uses Singular value decomposition (SVD) and wavelet difference reduction (WDR) technique followed by resolution enhancement using discrete wavelet transform (DWT) and stationary wavelet transform (SWT). The input image is decomposed into four different frequency subbands by using DWT. The low frequency subband is the being c...

The big data era is swamping areas including data analysis, machine/deep learning, signal processing, statistics, scientific computing, and cloud computing. The multidimensional feature and huge volume of big data put urgent requirements to the development of multilinear modeling tools and efficient algorithms. In this paper, we build a novel multilinear tensor space that supports useful algori...

Recently, tensor singular value decomposition (t-SVD) has emerged as a promising tool for hyperspectral image (HSI) processing. In the t-SVD, there are two key building blocks: (i) low-rank enhanced transform and (ii) accompanying characterization of transformed frontal slices. Previous t-SVD methods mainly focus on developments (i), while neglecting other important aspect, i.e., exact this let...

Watermarking is used to protect the copyrighted materials from being misused and help us to know the lawful ownership. The security of any watermarking scheme is always a prime concern for the developer. In this work, the robustness and security issue of IWT (integer wavelet transform) and SVD (singular value decomposition) based watermarking is explored. Generally, SVD based watermarking techn...

The rapid global development of E-commerce in terms digitalization and distribution digital contents the form image, audio, video, increases possibility unrestricted duplication broadcasting copyrighted data protection crucial documents is highly significant. Digital watermarking inserts watermark into cover or host by unnoticeable modification. In this work with biometric features done. a tech...