INTRODUCTION Most of the prior work in compressed sensing MRI has been based on pre-defined transformations to sparsify image representations, e.g. discrete cosine transforms (DCT), wavelets, and finite differences [1]. Even though an analytical transformation usually features a fast implementation, its performance as a sparsifying transform is limited by the underlying basis functions, which t...

Recently, collaborative image filtering based on groupbased sparse representation has gained a popularity in image restoration. BM3D frame [1], one of the first example of such a representation, utilizes both local sparsity of small size image patches and group-sparsity of collections of selfsimilar image patches. As a sparsifying transforms in the spatial and similarity domains, fixed transfor...

A new method for implementing complex wavelet transform (CWT) based on analog sampled-data circuit and singular value decomposition (SVD) algorithm is presented. To begin with, the real and imaginary parts functions of the complex wavelet base are approximated by using SVD algorithm. As the main advantage of this approximation approach is its computational simplicity and general applicability. ...

Digital content can frequently copied by unauthorized person and claim to his ownership. But we don’t know who the actual owner of that content is. Digital Watermarking is an important issue to solve this kind of problem. This paper presents a hybrid digital image watermarking based on Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) in a ...

Copyright protection for digital multimedia has become a research hotspot in recent years. As an efficient solution, the digital watermarking scheme has emerged at the right moment. In this article, a highly robust and hybrid watermarking method is proposed. The discrete wavelet transform (DWT) and all phase discrete cosine biorthogonal transform (APDCBT) presented in recent years as well as th...

This paper presents a DWT-DCT-SVD based hybrid watermarking method for color images. Robustness is achieved by applying DCT to specific wavelet sub-bands and then factorizing each quadrant of frequency sub-band using singular value decomposition. Watermark is embedded in host image by modifying singular values of host image. Performance of this technique is then compared by replacing DCT by Wal...

In this paper, the authors have presented the study of digital watermarking scheme which employs both the Discrete Cosine Transform (DCT) and the Singular Value Decomposition (SVD). The study discuss that how an original greyscale image can be secured by robust digital watermarking. In this paper it has been discussed how block based DCT and SVD transformation together can form a hybrid waterma...

<p style='text-indent:20px;'>In 2011, Kilmer and Martin proposed tensor singular value decomposition (T-SVD) for third order tensors. Since then, T-SVD has applications in low rank approximation, recovery, multi-view clustering, feature extraction, sketching, etc. By going through the Discrete Fourier Transform (DFT), matrix SVD inverse DFT, a is mapped to an f-diagonal tensor. We call th...

In this paper, a new satellite image contrast enhancement technique based on s Atrous wavelet transform and singular value decomposition (SVD) has been proposed. To obtain shift invariant discrete wavelet transform decomposition for images, we introduced the discrete wavelet transform known a “A trous” algorithm to decompose the image into wavelet planes which is computed as the difference betw...