Digital image watermarking is the process of encoding information into a digital image without deteriorating the visual quality of the image. Digital watermarking techniques are designed to withstand various attacks such as standard image processing operations, compression and geometric transformations. In this report we focus on watermarking of printed images and argue that this application re...

Filtering noise, in real time, has applications in speech and image processing. Considerable interest has arisen in recent years regarding filtering in the wavelet transform domain. This technique has been effective in noise removal with minimum side effects on important features such as image details and edges. In this paper, the effectiveness of both soft and hard thresholding for desired det...

We consider in this paper sparse audio coding as an alternative to transform audio coding for efficient MIR in the transform domain. We use an existing audio coder based on a sparse representation in a union of MDCT bases, and propose a fast algorithm to compute mid-level representations for beat tracking and chord recognition, respectively an onset detection function and a chromagram. The resu...

Steganography is the powerful tool for hiding information inside useful cover medium in ways such that the hidden message is undetectable. In Greek language, stego means covered or secret and graphy means to write. Hence, steganography means covered writing. Transform domain steganography is one of the techniques used for hidden exchange of information in frequency domain and it can be defined ...

An innovative watermarking scheme based on genetic algorithms (GA) in the transform domain is proposed. It is robust against watermarking attacks, which are commonly employed in the literature. In addition, the watermarked image quality is also considered. In this paper, we employ GA for optimizing both the fundamentally con4icting requirements. Watermarking with GA is easy for implementation. ...

This paper investigates the interpolation formulae and the sampling theorem for bandpass signals in the linear canonical transform LCT domain. Firstly, one of the important relationships between the bandpass signals in the Fourier domain and the bandpass signals in the LCT domain is derived. Secondly, two interpolation formulae from uniformly sampled points at half of the sampling rate associat...

Gabidulin codes are the rank metric analogues of Reed–Solomon codes and found many applications including network coding. Interleaving or the direct sum of Gabidulin codes allows both decreasing the redundancy and increasing the error correcting capability for network coding. In this paper, for Gabidulin codes we propose a transform–domain algorithm correcting both errors and erasures. We show ...

A large number of algorithms have been proposed for texture image retrieval and analysis. While each algorithm has its own characteristics and is suitable for indexing some particular categories of images, there is a lacking of an effective strategy to integrate these algorithms to maximize the retrieval performance based on the algorithms available. Our first step in this direction is to build...

A novel algorithm is proposed to estimate the fundamental frequencies present in polyphonic acoustic mixtures expressed in a transform domain. As an example, the algorithm operates on Modified Discrete Cosine Transform (MDCT) coefficients in order to demonstrate the utility of the method in commercially available perceptual audio codecs which use the MDCT. An auditory model is developed along w...

Abstract In this paper, transform domain adaptive filter and its orthogonality properties such as Discrete Cosine Least Mean Square Transform (DCLMST), Discrete Sine Least Mean Square Transform (DSLMST), Discrete Fourier Least Mean Square Transform (DFLMST), Wavelet Domain Least Mean Square Adaptive Filter (WDLMSAF) and Wavelet Domain Normalized Least Mean Square Adaptive Filter (WDNLMSAF) are ...