Block Based Deconvolution Algorithm Using Spline Wavelet Packets
نویسندگان
چکیده
منابع مشابه
Satellite Image Deconvolution Using Complex Wavelet Packets
The deconvolution of blurred and noisy satellite images is an ill-posed inverse problem. The direct inversion leads to unacceptable noise amplification. Usually, either the problem is regularized during the inversion process, or the noise is filtered after deconvolution and decomposition in the wavelet transform domain. Herein, we have developed the second solution, by thresholding the coeffici...
متن کاملFast GEM wavelet-based image deconvolution algorithm
The paper proposes a new wavelet-based Bayesian approach to image deconvolution, under the space-invariant blur and additive white Gaussian noise assumptions. Image deconvolution exploits the well known sparsity of the wavelet coefficients, described by heavy-tailed priors. The present approach admits any prior given by a linear (finite of infinite) combination of Gaussian densities. To compute...
متن کاملSpline-based deconvolution
This paper proposes robust algorithms to perform deconvolution and inversion of the heat equation starting from 1D and 2D discrete noised data. The solutions are provided as splines that minimize some parameterized quadratic functionals. Parameters choice determines the trade-off between the regularity of the solution and the approximation of the initial data. The solutions are derived in an ex...
متن کاملVideo Watermarking Using Wavelet Packets and Block Selection Technique
Digital video watermarking has fascinated a great deal of research interest in the past few years in applications such as copyright protection, digital fingerprinting and owner identification. In this paper, a combined video watermarking scheme is proposed based on wavelet packets and block selection technique. The performance of the proposed video watermarking algorithm is measured in terms of...
متن کاملA New Algorithm for Voice Activity Detection Based on Wavelet Packets (RESEARCH NOTE)
Speech constitutes much of the communicated information; most other perceived audio signals do not carry nearly as much information. Indeed, much of the non-speech signals maybe classified as ‘noise’ in human communication. The process of separating conversational speech and noise is termed voice activity detection (VAD). This paper describes a new approach to VAD which is based on the Wavelet ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematical Imaging and Vision
سال: 2010
ISSN: 0924-9907,1573-7683
DOI: 10.1007/s10851-010-0224-4