Sentence examples for estimation image from inspiring English sources

In recent years, sparsity-based techniques were proposed and have been used in spectral estimation, image processing, and radar imaging[6 17].

Direct applications of FFT include spectral analysis, spectral estimation, image processing, interpolation, decimation, convolution, correlation, filtering, etc. FFT is also used in all wideband digital communication systems, which use orthogonal frequency division multiplexing (OFDM) as the modulation technique.

Functions for model estimation and image transformation are provided by the image processing toolbox in MATLAB.

At the receiver side, the received bit plane information serves as the side information to facilitate the estimation of image edge information thus making the image reconstruction more precise.

Using a weighted maximum likelihood estimation for image denoising is not a new technique; it was first used for image denoising by Polzehl and Spokoiny [51, 52].

To investigate the effect of correct estimation of image defocus and subsequent CTF correction, we tested arbitrary CTF imposition onto the images of two-dimensional crystals of Rous sarcoma virus capsid protein.

σ I and σ I ^ are the standard deviations used in the estimation of image contrast, and σ I I ^ corresponds to the covariance between the two images.

In this paper, we combine 3D anisotropic diffusion and motion estimation for image denoising and improvement of motion estimation.

For example, circular differential edge operators are effective in minimising the angular error in the estimation of image gradient direction.

Optical flow estimation from image sequences has been for several years a mathematical process carried out by general purpose processors in no real time.

Various aspects of model parameterization, parameter estimation, and image annotation are discussed.