Abstract
In this paper we review and discuss some of the theoretical and practical aspects, the problems, and the considerations that pushed our research from the one-dimensional LPA-ICI (local polynomial approximation- interesection of conÞdence intervals) algorithm [27] to the development of powerful transform-based methods for anisotropic image
Keywords
Related Publications
Improved time bounds for near-optimal sparse Fourier representations
•We study the problem of finding a Fourier representation <b>R </b>of <i>m</i> terms for a given discrete signal <b>A</b> of length<i> N</i>. The Fast Fourier Transform (FFT) ca...
Atomic Decomposition by Basis Pursuit
The time-frequency and time-scale communities have recently developed a large number of overcomplete waveform dictionaries --- stationary wavelets, wavelet packets, cosine packe...
Linear Smoothers and Additive Models
We study linear smoothers and their use in building nonparametric regression models. In the first part of this paper we examine certain aspects of linear smoothers for scatterpl...
Spline Smoothing: The Equivalent Variable Kernel Method
The spline smoothing approach to nonparametric regression and curve estimation is considered. It is shown that, in a certain sense, spline smoothing corresponds approximately to...
Image Superresolution Using Support Vector Regression
A thorough investigation of the application of support vector regression (SVR) to the superresolution problem is conducted through various frameworks. Prior to the study, the SV...
Publication Info
- Year
- 2011
- Type
- article
- Citations
- 5
- Access
- Closed