Sentence examples for enhancing an image from inspiring English sources

Histogram equalization (HE) is a simple and effective contrast enhancement technique for enhancing an image.

Judicious choice of image-processing routines can greatly enhance an image and can extract features that are not otherwise possible.

The proposed method enhances an image with a special attention to the dark region of that image.

LIDE applies the idea of histogram equalization to parametric model in order to enhance an image using local information.

The judicious choice of image-processing routines can greatly enhance an image and can extract features, which are not otherwise possible.

In [5], the scalar multiplication operation of the logarithmic image processing (LIP) model is used to enhance an image as follows: where (phi _{text {LIP}}(x)=-log (1-x)) and γ 1 is an image-dependent adaptive gain.

Within the category of non-linear function mapping methods, the use of gamma correction as a power-law correction of intensities is a popular approach to enhance an image [29, 30].

In [6], the scalar multiplication operation of the parametric log-ratio (PLR) model is used to enhance an image as follows: begin{array}{*{20}l} y & =gamma_{2}otimes x & =phi_{text{PLR}}^{-1}left(gamma_{2}phi_{tex right}(x)right) end{array} (2).

In order to enhance an image using, e.g., modern image denoising methods based on wavelets [5 7] or discrete cosine transform (DCT) [8, 9] transforms, one has to know a noise type and its basic characteristics such as probability density function (PDF), variance, or two-dimensional (2D) spatial correlation function (if the observed noise is not independent and identically distributed (i.i.d).i.d

Århus city council explicitly embraced the new spelling, as it was thought to enhance an image of progressiveness.

Before enhancing an observed image, an anti-degraded model named dark channel prior (DCP) is provided to get haze-free endoscopic images.