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Spectral methods are global methods.
Global methods use a single threshold for the whole image.
Generally, the global methods can generate saliency maps with full resolution and evenly highlighted salient regions.
Global methods failed to enhance detail in the wave and in the splashing water.
Note that the global methods have the low throughput due to their small number of processors.
Dense stereo matching algorithms can be classified into local and global methods.
Local methods outperform the global methods in terms of energy efficiency.
Stereo matching algorithms have been classified into global methods and local methods [17, 18].
Possible future work could explore hierarchical global methods for hardware implementations.
The methods of finding an optimal approximation of Dbestcan be split into local and global methods.
The existing methods of saliency detection can roughly be categorized into local and global methods.
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