In this paper, we proposed a new artifact level estimation algorithm. The noise model is firstly proposed and 2D discrete wavelet transform is explained. The proposed method is based on Donoho’s approach. From the result section, it is obvious that the proposed method gives favorable results.

In this paper, the multifractal scheme provides a richer framework to extract the fractal components using 2D discrete wavelet transform than that of the conventional methods. In general, most of the signals and images are complex objects and possess a high degree of redundant information. The statistical properties of signals and natural images reveal that natural images can be viewed through ...

The problem of computing sparse (mostly zero) or sparsifiable (by linear transformation) solutions to underdetermined linear systems of equations has applications in compressed sensing and minimumexposure medical imaging. We present a simple, noniterative, low-computational-cost algorithm for computing a sparse solution to an underdetermined linear system of equations. The system matrix is the ...

In this paper, we propose a texture feature-based language identification using wavelet-domain BDIP (block difference of inverse probabilities) and BVLC (block variance of local correlation coefficients) features and FFT (fast Fourier transform) feature. In the proposed method, wavelet subbands are first obtained by wavelet transform from a test image and denoised by Donoho’s soft-thresholding....

This thesis describes a study to perform change detection on Very High Resolution satellite images using image fusion based on 2D Discrete Wavelet Transform and Fuzzy C-Means clustering algorithm. Multiple other methods are also quantitatively and qualitatively compared in this study.

Maximum Likelihood (ML) estimation based Expectation Maximization (EM) [IEEE Trans Med Imag, MI-1 (2) (1982) 113] reconstruction algorithm has shown to provide good quality reconstruction for positron emission tomography (PET). Our previous work [IEEE Trans Med Imag, 7(4) (1988) 273; Proc IEEE EMBS Conf, 20(2/6) (1998) 759] introduced the multigrid (MG) and multiresolution (MR) concept for PET ...

The amount of information that is handled by computers has grown exponentially over the past decades. Hence, the storage and transmission of the digital image component of Multimedia systems is a major problem. The amount of data required to present images at an acceptable level of quality is extremely large. High quality image data requires large amounts of storage space and transmission bandw...

The growing popularity of the Discrete Wavelet Transform (DWT) has boosted its tuning on all sorts of computer systems, from special purpose hardware for embedded systems to general purpose microprocessors and multiprocessors. In this paper we continue to investigate possibilities for the implementation of the DWT, focusing on state-of-the-art programmable graphics hardware. Current design tren...

This paper addresses the vectorization of the lifting-based wavelet transform on general-purpose microprocessors in the context of JPEG2000. Since SIMD exploitation strongly depends on an efficient memory hierarchy usage, this research is based on previous work about cacheconscious DWT implementations [1,2,3]. The experimental platform on which we have chosen to study the benefits of the SIMD e...

Abstract The Discrete Wavelet Transform (DWT) plays a major role in the field of signal analysis, computer vision, object recognition, image compression and video compression standard. The advantage of DWT over other traditional transformations is that it performs multi resolution analysis of signals with localization both in time and frequency. A majority of today’s Internet bandwidth is estim...