Sentence examples for global contrasts from inspiring English sources
Results show the effectiveness of the proposed algorithm in enhancing local and global contrasts, suppressing saturation and over-enhancement artefacts while retaining the original image appearance.
Although as in the Cartesian case, convergence rates decrease with increasing viscosity gradients, global contrasts up to 106 are obtained at a reasonable cost.
We use G RG(p) and G BY(p) to represent the global contrasts of RG and BY, e.g., G RG ( p ) = 1 N ∑ ∀ q ∈ I | RG ( p ) − RG ( q ) |, supposing the image has N pixels.
A comparative analysis is done on local contrast stretching, global contrast stretching, dark contrast stretching, bright contrast stretching methods.
Both local contrast and global contrast methods belong to the airspace mode.
CA combines local contrast with global contrast to calculate saliency image.
Inspired by this, Fenget et al. [48] used the sliding window to calculate the global contrast.
The global contrast-based methods integrate the entire information features all over the visual field.
The lack of correlation between the global contrast measure and data dimensionality supports this conclusion.
Considering the disadvantages of computing saliency image using local contrast, we can obtain the saliency image using global contrast method.
The first term is designed to describe the global contrast, which is computed based on pixel-level saliency maps.
