(A) Illustration of the inverse scaling behavior of the spectrum with pixel size. 1 × px corresponds to the experimental pixel size. The shape of the noise floor is the result of the pixel-noise being convoluted with kernel from the linear interpolation. (B) Plot of the spectra obtained for different SNRs. The noise floor decreases for higher (better) SNRs. At high SNRs (SNR ≥ 104) it begins to enter the noise due to numeric imprecision. Since this noise is independent of pixels, spectrum for SNR = ∞ is flat (red line).</p
As a first step towards more absolute quantitative procedures for evaluating images, new and better ...
Resolution analysis for imaging with in the presence of noise is presented. Novel, simple definition...
Noise performance in imaging arrays is often specified simply by the variance of the pixel levels. I...
This thesis consisted of two major parts, one determining the masking characteristics of pixel noise...
<p>(A) Noise masked gratings in different spatial frequency conditions (<i>N<sub>ext</sub></i> = 0.3...
Characterization of fixed-pattern noise is an important aspect in evaluating the performance of a st...
The spectrum from the old algorithm increase at high q, since the pixilation artifact causes increas...
The problem of input noise affecting the subpixel classification is examined in order to assess its ...
Several studies have demonstrated that the power spectra of natural image ensembles scale as f−α. A ...
A technique to estimate the radial dependence of the noise power spectrum of images is proposed in w...
AbstractA number of researchers have suggested that in order to understand the response properties o...
AbstractWhen noise checks are small, spatial noise mimics the effect of white noise in grating detec...
International audienceWe focus on considering noise properties in hyperspectral images acquired by d...
<p>The plots show the dependence of <i>η</i>*(<i>M</i>) (dashed line) and <i>η</i>*(<i>S</i>) (solid...
<p>The neural spectral ripple discrimination threshold is estimated as the point where the mismatch ...
As a first step towards more absolute quantitative procedures for evaluating images, new and better ...
Resolution analysis for imaging with in the presence of noise is presented. Novel, simple definition...
Noise performance in imaging arrays is often specified simply by the variance of the pixel levels. I...
This thesis consisted of two major parts, one determining the masking characteristics of pixel noise...
<p>(A) Noise masked gratings in different spatial frequency conditions (<i>N<sub>ext</sub></i> = 0.3...
Characterization of fixed-pattern noise is an important aspect in evaluating the performance of a st...
The spectrum from the old algorithm increase at high q, since the pixilation artifact causes increas...
The problem of input noise affecting the subpixel classification is examined in order to assess its ...
Several studies have demonstrated that the power spectra of natural image ensembles scale as f−α. A ...
A technique to estimate the radial dependence of the noise power spectrum of images is proposed in w...
AbstractA number of researchers have suggested that in order to understand the response properties o...
AbstractWhen noise checks are small, spatial noise mimics the effect of white noise in grating detec...
International audienceWe focus on considering noise properties in hyperspectral images acquired by d...
<p>The plots show the dependence of <i>η</i>*(<i>M</i>) (dashed line) and <i>η</i>*(<i>S</i>) (solid...
<p>The neural spectral ripple discrimination threshold is estimated as the point where the mismatch ...
As a first step towards more absolute quantitative procedures for evaluating images, new and better ...
Resolution analysis for imaging with in the presence of noise is presented. Novel, simple definition...
Noise performance in imaging arrays is often specified simply by the variance of the pixel levels. I...